Market Prediction Or Demand Forecasting Patents (Class 705/7.31)
  • Patent number: 11373199
    Abstract: Methods and systems for forecasting demand for a plurality of items are provided. In particular, the demand forecasting system and methods described herein are useful for predicting demand of products in a retail context. Forecast models are built and used to score incoming sales data to predict future demand for items. Forecast models are validated by evaluating actual demand against predicted demand and using that information to inform how future ensemble forecast will be generated. Forecasts may be broken down into smaller components to satisfy a variety of requests for data from client applications.
    Type: Grant
    Filed: October 26, 2018
    Date of Patent: June 28, 2022
    Assignee: Target Brands, Inc.
    Inventors: Adam Morgan, Anand Das, Samir H Shah, Phillip Yelland
  • Patent number: 11361276
    Abstract: A dynamic supply chain planning system for analysis of historical lead time data that uses machine learning algorithms to forecast future lead times based on historical lead time data, weather data and financial data related to locations and dates within the supply chain.
    Type: Grant
    Filed: October 1, 2020
    Date of Patent: June 14, 2022
    Assignee: KINAXIS INC.
    Inventors: Phillip Williams, Zhen Lin, Behrouz Haji Soleimani, Seyednaser Nourashrafeddin, Chantal Bisson-Krol, Marcio Oliveira Almeida
  • Patent number: 11349338
    Abstract: This disclosure involves verifying that a power network model corresponds to an electric power network providing electrical power in a geographical area. For instance, a validation device computes a validation score for a power network model based on a connectivity score, an asset score, and a power-flow score. The connectivity score indicates connectivity errors in the power network model as compared to the power network. The asset score indicates power-delivery errors in the power network model with respect to power-consuming assets serviced by the power network. The power-flow score indicates power-flow calculation errors in the power network model with respect to voltage ranges for the power network. The validation score is repeatedly computed for iteratively updated versions of the power network model until a threshold validation score is obtained. The validated power network model is provided to a control system for identifying and correcting errors in the power network.
    Type: Grant
    Filed: December 3, 2019
    Date of Patent: May 31, 2022
    Assignee: Landis+Gyr Innovations, Inc.
    Inventor: Quang Binh Dam
  • Patent number: 11328366
    Abstract: A system includes a financial data storage that stores internal account data, external account data, and transaction data, a communications interface configured to receive external account data from an external data source and transaction data from a merchant, and a database manager that cooperates with the communications interface to store the external account data and the transaction data. The system also includes an account balance prediction processor configured to identify recurring expense transaction(s) and recurring income transaction(s) and update them based on user input, determine predicted expense transaction(s) and a predictive income using a predictive model, and calculate a predicted account balance. The system also includes a transaction monitor configured to compare one or more actual expense transactions with one or more predicted expense transactions, and an alert transmitter configure to generate and transmit one or more alerts based on the comparison.
    Type: Grant
    Filed: June 8, 2020
    Date of Patent: May 10, 2022
    Assignee: CAPITAL ONE SERVICES, LLC
    Inventors: Jeremy Rephlo, Daniel L. Struble, Mohamed Lafeer, Robert D. Rowley, Nondini A. Naqui, Sarah Calandro, Colin Hart
  • Patent number: 11321762
    Abstract: A computer generates an optimized decision distribution vector for a plurality of related, demand-correlated products. The computer receives data indexed by product, with each entry including several entry attributes. The computer receives decision context data for the products. The computer determines a set of primary attributes and trains a first machine learning model based upon those attributes. The computer receives a decision optimization request that includes an associated set of attributes corresponding to the primary attributes. The computer scores the associated set of attributes, using the first machine learning model, to generate a baseline purchase propensity. The computer trains a second machine learning model, based upon the baseline purchase propensity and the decision context data, to generate own-product and cross-product elasticity data.
    Type: Grant
    Filed: June 30, 2020
    Date of Patent: May 3, 2022
    Assignee: International Business Machines Corporation
    Inventors: Shivaram Subramanian, Pavithra Harsha, Wei Sun, Markus Ettl
  • Patent number: 11321887
    Abstract: Examples of article designing are described herein. In an example, image data, margin data, and sales data corresponding to a plurality of articles may be obtained. The obtained data may be analyzed to identify a first article image of a first article and a second article image of a second article. The first article image is integrated with the second article image, based on an article attribute to generate a transformed article image. The article attribute may be an attribute having a maximum likelihood of making the article popular. The transformed article image may be filtered based on predefined filtering rules to obtain a curated article design image. The curated article design image is assessed to generate a design score indicative of a popularity and/or a sellability of an article, and a design of the article may be selected for a post design selection process, based on the design score.
    Type: Grant
    Filed: December 23, 2019
    Date of Patent: May 3, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Nitish Bhardwaj, Sakshi Jain, Kumar Abhinav, Suma Mani Kuriakose, Veenu Arora, Alpana Dubey, Dhruv Bajpai
  • Patent number: 11316743
    Abstract: Examples of network bandwidth management are provided. A system may access, time series distribution data including a distribution of data points corresponding to an average count of network packets. Further, the system may determine, from the time series distribution data, trend data component, seasonal data component, cyclical data component, and irregular data component. Furthermore, the system may compute, baseline distribution traffic data based on the trend data component, the cyclical data component, and the seasonal data component. Furthermore, the system may identify auto regression data component and moving average data component based on the irregular data component. The system may further, determine an estimated network traffic for a future time interval based on the baseline distribution traffic data, a lagged covariate factor, and covariate metrics. Furthermore, the system may provide the estimated bandwidth based on the estimated network traffic to configure the server.
    Type: Grant
    Filed: March 4, 2020
    Date of Patent: April 26, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Gurpreet Singh Bawa, Kaustav Pakira, Souvik Chakraborty, Rebecca Lynn Ruliffson
  • Patent number: 11315175
    Abstract: A system may include a rental unit allocation portal and a prediction unit. The portal receives tenant application information and allocating a rental unit based on the tenant application information and a length of stay prediction score associated with the tenant. The prediction unit may determine the length of stay prediction score by using one or more models and voting among the prediction scores of the one or more models. The one or more models may include a logic regression model, a survival analysis model, a tree-based model and/or a gradient boosting model. In addition, the system may include a conformal predictor configured to predict the confidence interval. The length of stay prediction score can also be provided to a risk allocation unit configured to quantify risk by aggregating it for a portfolio of underlying properties with tenants, or a portfolio of loans secured by tenanted properties.
    Type: Grant
    Filed: December 18, 2019
    Date of Patent: April 26, 2022
    Inventors: Vidur Gopesh Gupta, Chao Tang, Anthony Bellotti
  • Patent number: 11308412
    Abstract: Similarity of items can be estimated by using a method including generating a prediction model that predicts an indicator of a target based on one or more attributes for items, by estimating a weight set, among weight sets, for each of the items, and estimating a similarity among the items for the target based on the weight sets of the prediction model.
    Type: Grant
    Filed: April 14, 2017
    Date of Patent: April 19, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventor: Tetsuro Morimura
  • Patent number: 11301880
    Abstract: Systems for monitoring and analyzing behavior in various applications and uses thereof. Generally, the systems (and uses thereof) are for monitoring and analyzing consumer purchasing behavior in real-time to drive sales via engaging digital customer experiences. In embodiments, the disclosed system can include a retail store system that features and includes MAC address tracking, user eye tracking, object identification of goods on shelves, open API, advertising broker rules engine. In addition, the system can include a customer engagement with interactive output displays including displays with demographic intelligence, displays with demographics and MAC—panels throughout store at product, displays with demographics and MAC—single panel or few panels scattered throughout store, automated customer assistance at shelf, customer purchase at shelf.
    Type: Grant
    Filed: April 1, 2020
    Date of Patent: April 12, 2022
    Assignee: ALPHA MODUS, CORP.
    Inventors: Michael Garel, Jim Wang
  • Patent number: 11301879
    Abstract: A health care provider (HCP) engagement engine is disclosed. The HCP engagement engine facilitates effective communication between pharmaceutical sales representatives (pharma reps) and HCPs by tracking actions performed by pharma reps to sell products to HCPs, analyzing the actions, and eliminating confounding effects due to inbound and outbound activities. Inbound activities include behaviors performed by pharma reps to the HCPs, while outbound activities are taken by HCPs in response to the inbound activities. Reducing confounding allows the pharma reps to have better information about which behaviors best drive HCP engagement.
    Type: Grant
    Filed: August 28, 2019
    Date of Patent: April 12, 2022
    Assignee: AKTANA, INC.
    Inventors: Marc Cohen, Anna Decker
  • Patent number: 11301888
    Abstract: Quantitative evaluations of friction within a customer experience may be provided to reduce abandonment and improve conversion of transactions. One or more transactions may be identified. One or more personas corresponding to the one or more transactions may be identified. One or more customer friction factor (CFF) scores corresponding to the one or more transactions may be determined. A given CFF score may be a quantification of an aspect of a given transaction that has a negative impact on a customer experience associated with the given transaction. The one or more CFF scores may be compared with one or more valid comparisons relating to the same industry and the same transaction type. One or more friction points may be identified based on the comparison of the one or more CFF scores. Addressing a friction point may reduce abandonment and improves conversion associated with transactions.
    Type: Grant
    Filed: May 26, 2020
    Date of Patent: April 12, 2022
    Assignee: NTT Data, Inc.
    Inventors: Brad Rucker, Matthew W. Leach
  • Patent number: 11297183
    Abstract: A method and apparatus for predicting customer behavior is disclosed. The method comprises organizing a transcribed, diarized text of a conversation in a call, into a predefined number of sets, determining features corresponding to a sentiment score, a percentage and/or count of positive words, and a percentage and/or count of negative words for each of the a predefined number of sets, determining word count features corresponding to the word count for each of the a predefined number of sets, determining features corresponding to a call talk time, a call hold time and a call hold percentage based on the transcribed text. Based on all the determined features, the method determines whether the customer is satisfied or not, the customer activity based on an activity profile of the customer, and whether the customer used escalation terms based on the transcribed text.
    Type: Grant
    Filed: July 27, 2020
    Date of Patent: April 5, 2022
    Assignee: Uniphore Technologies Inc.
    Inventor: Sindhuja Gopalan
  • Patent number: 11295622
    Abstract: A request for transport services that identifies a rider, an origin, and a destination is received from a client device. Eligibility of the request to be serviced by a vertical take-off and landing (VTOL) aircraft is determined based on the origin and the destination. The client device is sent an itinerary for servicing the transport request including a leg serviced by the VTOL aircraft. Confirmation is received that the rider has boarded the VTOL aircraft and determination made as to whether the VTOL aircraft should wait for additional riders. Instruction are sent to the VTOL aircraft to take-off if one or more conditions are met.
    Type: Grant
    Filed: March 28, 2019
    Date of Patent: April 5, 2022
    Assignee: Joby Aero, Inc.
    Inventors: Nikhil Goel, Jon David Petersen, John Conway Badalamenti, Mark Moore
  • Patent number: 11282021
    Abstract: A Foundational Framework (“the Framework”) may refer to an apparatus that connects a multiplicity of potentially very complex components, each of which produce different types of information related to financial forecast, while maintaining a distributed and federated model to allow high autonomy to each component. The innovative Framework provides a unified operation of lifecycle of every component and allows the production of unlimited types of forecasts of different dimensions and for different purposes using a common tool that is responsible of coordinating and running the sequence of components for the user's needs.
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: March 22, 2022
    Assignee: JPMorgan Chase Bank, N.A.
    Inventors: Ricardo Riguera Arias, Fernando Cela Diaz, Chris Ferraro, Ashish Das, Anupam Sharma, Surya Chavali, Bharat Patel, Kenneth C. Wood, Veronica Mejia Bustamante, Reuben Mathew, Nikhil Mirakhur, Boyu Wu, Chengchen Qin, Ravi K. Govindaraju, Yufeng Ding, Stephen Koch, Saurabh Shivpuri
  • Patent number: 11276033
    Abstract: Based upon the transition information for all the retail stores, a determination is made of an average cluster retention score. The average cluster retention score is a measure of how many retail stores have moved from original to different existing sales clusters in the current sales period. When the average cluster retention score is below a predetermined threshold, a complete re-organization of the existing sales clusters is performed. When the average cluster retention score is above the predetermined threshold, a determination is made as to whether each retail store should be re-classified.
    Type: Grant
    Filed: November 30, 2018
    Date of Patent: March 15, 2022
    Assignee: Walmart Apollo, LLC
    Inventors: Somedip Karmakar, Sourit Manna, Gayatri Pal
  • Patent number: 11276036
    Abstract: The embodiments of the present disclosure provide an order processing method, apparatus, device, system and storage medium, where the method includes: acquiring an original order to be processed; searching for unsorted target orders, where the target orders are obtained by combining a plurality of original orders; decomposing at least part of the searched target orders into original orders; combining the original orders obtained by decomposition and the original order to be processed to regenerate one or more target orders. The order processing method, apparatus, device, system and storage medium provided by the embodiments of the present disclosure can realize dynamic roll-back combining, so that the newly arrived original order is combined with the currently unsorted target orders, and the out-of-warehouse efficiency is effectively improved.
    Type: Grant
    Filed: March 19, 2021
    Date of Patent: March 15, 2022
    Assignee: HAI ROBOTICS CO., LTD.
    Inventors: Runfang Yu, Xin Ai
  • Patent number: 11270355
    Abstract: Methods and systems for generating a messaging campaign are described. A first phase of the campaign is conducted using a first set of parameters for delivering a first message to a first group of intended recipients via a first distribution channel. Based on analysis of online activity associated with one or more members of the first group, a second set of parameters is determined for a second phase of the messaging campaign. The second set of parameters define a change to the first set of parameters.
    Type: Grant
    Filed: February 3, 2020
    Date of Patent: March 8, 2022
    Assignee: SHOPIFY INC.
    Inventors: Kevin Clark, Brooke Fitzgerald, David Cornu, Jacinthe Ricard, Mathieu Leduc-Hamel
  • Patent number: 11269761
    Abstract: A method, system, and computer program product for relating test data to business requirements are provided in the illustrative embodiments. a test operation of a code is configured in a test data processing environment, a section in the code corresponding to a portion of a business requirements document. A set of baseline results is received. The test operation is executed, identifying the section of the code and associating the section of the code with a test result produced from the test operation. A determination is made whether the test result matches a first baseline result from the set of baseline results within a tolerance. When the test result does not match the first baseline result from the set of baseline results within the tolerance, the portion of the business requirements document is annotated.
    Type: Grant
    Filed: March 21, 2019
    Date of Patent: March 8, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Michael Bender, Wayne M. Delia, Gautam Majumdar
  • Patent number: 11269966
    Abstract: The present specification discloses a multi-classifier-based recommendation method and device, and an electronic device.
    Type: Grant
    Filed: July 1, 2020
    Date of Patent: March 8, 2022
    Assignee: Advanced New Technologies Co., Ltd.
    Inventors: Xinxing Yang, Jun Zhou, Xiaolong Li
  • Patent number: 11263486
    Abstract: In order to facilitate machine learning for prediction using distinct dataset types, systems and methods include collecting content information from archived websites databases. Collecting historical event information from online sources, where the historical event information is associated with a plurality of historical events. Generating event-dependent products training datasets based on the content information and the historical event information, where the event-dependent content training datasets defines for content historical events that are associated with attributes of the content, attribute change of the content, or both. Training an attribute prediction machine learning model based on the event-dependent content training datasets. Applying the trained attribute prediction machine learning model to additional event information to predict, for content, a future attribute estimate, a future attribute change estimate, or both.
    Type: Grant
    Filed: February 4, 2020
    Date of Patent: March 1, 2022
    Assignee: Capital One Services, LLC
    Inventors: Abdelkader M'Hamed Benkreira, Michael Mossoba, Joshua Edwards
  • Patent number: 11257106
    Abstract: A device may receive, from account entity devices, sets of transaction data for transactions between merchants and customers, and may use a first machine learning model to assign the customers to clusters based on measures of similarity among the sets of transaction data. The device may determine travel-related data items in a set of transaction data, of the sets of transaction data, associated with a set of customers assigned to a particular cluster, and may use a second machine learning model to identify a travel experience that has a threshold likelihood of being of interest to the set of customers. The device may receive offers relating to the travel experience, and may provide, to customer devices associated with customers of the set of customers, travel offer packages that include at least one of the offers relating to the travel experience.
    Type: Grant
    Filed: June 10, 2020
    Date of Patent: February 22, 2022
    Assignee: Capital One Services, LLC
    Inventors: Matthew Reedy, Andrew Marr, Lin Ward, Noble Ozoka
  • Patent number: 11257112
    Abstract: A system and method for optimizing advertisements for display to users comprising receiving a request for an advertisement wherein the request comprises information about a user to whom the advertisement is to be displayed; determining at least one community of which the user is a member; determining a conditional probability that the user will interact with the advertisement; responsive to the conditional probability exceeding a threshold, determining community data to present with the advertisement and providing for display to the user the advertisement and the community data; responsive to the providing of the advertisement, receiving an indication of activity at a client system related to the advertisement or community data; and storing the indication in a storage medium.
    Type: Grant
    Filed: October 15, 2009
    Date of Patent: February 22, 2022
    Assignee: LivingSocial, Inc.
    Inventors: Farhad Massoudi, David Robert Gentzel
  • Patent number: 11257088
    Abstract: Risk scores are generated by systems that use features or inputs from the current transactions, some summary statistics like velocity and some statistics calculated in batch mode which traverse hierarchical classification levels of entities, including classified attribute levels of known transactions, to identify neighborhoods of related entities and related transactions. Corresponding records of transaction information are extracted from or are otherwise generated from neighborhoods of the related transactions associated with the defined neighborhoods of entities/transactions.
    Type: Grant
    Filed: November 15, 2019
    Date of Patent: February 22, 2022
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Jayaram N. M. Nanduri, Yuting Jia, Hang Xu, Anand Ravindra Oka, John Alan Beaver, Anton Khokhlov
  • Patent number: 11257102
    Abstract: This disclosure describes a market segment analysis (MSA) system that facilitates a cluster analysis of market segment data and performance metrics to identify data patterns between individual market segments within a designated market region. Particularly, the MSA system may quantify current performance of existing vendor product or service offerings within a market segment relative to historical performance of the vendor product or service offering within the market segment. Further, the MSA system may quantify current performance of a vendor product or service offering relative to current peer performance of the same or substantially similar vendor product or service offerings within additional market segments. The MSA system may recommend one or more additional market segments for an offering of the vendor product or service. Alternatively, or additionally, the MSA system may recommend one or more vendor product or service offering(s) for a target market segment of a designated market region.
    Type: Grant
    Filed: May 11, 2017
    Date of Patent: February 22, 2022
    Assignee: T-Mobile USA, Inc.
    Inventors: Benjamin White, Suzanne Rocha, Denise Nicholson-Metz
  • Patent number: 11250040
    Abstract: Systems and methods are disclosed that provide for extracting information from a text string. In certain embodiments, a system is disclosed to receive a textual string representative of a distributed computing operation. The system is configured to isolate an identifier included in the textual string based on information in the textual string and/or other information associated with the distributed computing operation. The system is also configured to provide the identifier to a computer device over a network.
    Type: Grant
    Filed: October 19, 2017
    Date of Patent: February 15, 2022
    Assignee: Capital One Services, LLC
    Inventors: John Gilling, Michael Walters, Chang W. Kim, Pavel Fort
  • Patent number: 11249121
    Abstract: A method and apparatus for analysing utility consumption at a utility supply location is described. The method comprises the steps of: receiving utility consumption data corresponding to utility consumption at the utility supply location over a time period to be analysed; generating a recurring consumption model indicative of repeating consumption patterns in the utility consumption data; identifying divergences between the utility consumption data and the recurring consumption model; computing a diagnostic measure indicative of irregular consumption based on the identified divergences; and outputting the diagnostic measure. The diagnostic measure may be used to identify flexibility or irregularities in consumption and/or to control supply of the utility. The utility may be e.g. electricity, gas or water.
    Type: Grant
    Filed: July 3, 2018
    Date of Patent: February 15, 2022
    Assignee: CENTRICA HIVE LIMITED
    Inventors: Timothy Wong, Neal Coady
  • Patent number: 11244290
    Abstract: Systems, methods, and storage media for pre-approving onboarding to a payment platform, executing on a processing device are disclosed. Exemplary implementations may: access a node network; determine a first business entity associated with a first node of the plurality of nodes is not a member of a payment platform; determine a total strength of connections of the first node to one or more nodes of the plurality of nodes exceeds a predetermined threshold value; and flag the first node of the plurality of nodes for an offer of onboarding to the payment platform consequent to determining the total strength of connections of the first node to the one or more nodes of the plurality of nodes exceeds the predetermined threshold value.
    Type: Grant
    Filed: October 2, 2018
    Date of Patent: February 8, 2022
    Assignee: Wells Fargo Bank, N.A.
    Inventors: Andrew J. Garner, IV, Lisa G. Hukari, Timothy R. Knowlton, Laura Lee Orcutt, Paul Vittimberga, Lolita Wang
  • Patent number: 11244005
    Abstract: A system and computer implemented method for amplifying the online visibility and credibility of a user of an application platform is provided. The system includes an application platform for carrying out the method; a desired work related to a defined topic; a drafted work from a creator that is graded based on predetermined attributes; an automated reader configured to read, identify, and tag keywords; target websites having attributes associated with the defined topic or keywords; one or more accepted users for sponsoring the drafted work on a selected target website; a matching user to sponsor the drafted work; an enhanced work enhanced for the keywords and the matching user; a transmission of the enhanced work to a selected target website; a published work on target website; and a symbiotic sharing the work on one or more social media platforms selected by the matching user.
    Type: Grant
    Filed: July 12, 2021
    Date of Patent: February 8, 2022
    Inventor: Jeffrey Boettcher
  • Patent number: 11240125
    Abstract: A system and method for creating a model for predicting and reducing subscriber churn in a computer network. The method including: for a predetermined time period: retrieving traffic flow data per subscriber for a plurality of subscribers in the computer network; determining at least one metric per subscriber from the traffic flow data; determining at least one systemic feature associated with the plurality of subscribers; and storing the at least one amalgamated metric and feature; on reaching the predetermined time period create the model by: analyzing at least one metric and at least one feature for the predetermined time period; predicting, per subscriber, whether the subscriber is going to churn within a churn period in the future based on the analysis; validating the prediction by determining whether the subscriber actually churned during the churn period; and creating the model based on the validated predictions.
    Type: Grant
    Filed: October 10, 2019
    Date of Patent: February 1, 2022
    Assignee: Sandvine Corporation
    Inventors: Kamakshi Sridhar, Lars Anton Gunnarsson, Alexander Havang, Pavle Mihajlovic, Kavi Kanasupramaniam
  • Patent number: 11232492
    Abstract: Technologies are described for performing automated option planning. For example, option planning can comprise displaying a plurality of product segments, displaying historical performance for the plurality of product segments (e.g., indicating how many options were offered previously), receiving a change threshold value, automatically calculating an option count range for each product segment based at least in part on the change threshold value and the historical performance, automatically determining a proposed option count for each product segment (e.g., limited to its corresponding option count range), and displaying the proposed option count for each of the plurality of product segments. Sales targets can also be calculated and displayed based on the proposed option counts. Option planning can be performed within a graphical user interface.
    Type: Grant
    Filed: July 19, 2019
    Date of Patent: January 25, 2022
    Assignee: SAP SE
    Inventors: Rahul Yadav, Jacob Stovall, Mandar Sahani
  • Patent number: 11232379
    Abstract: A method of determining and optimizing the location of a new insurance agency is disclosed to increase market penetration of underrepresented markets. The method comprises the use of a scoring algorithm to rank various geographic regions or related zip codes. The scoring algorithm may be implemented by a location modeling system based on variables selected by a user.
    Type: Grant
    Filed: December 2, 2014
    Date of Patent: January 25, 2022
    Assignee: Allstate Insurance Company
    Inventors: Sharon Rossmark, Larry Kobori, Gary Kerr
  • Patent number: 11227297
    Abstract: A method of enhancing a user interface of a network-based publication system based on seasonality scores associated with items featured in listings posted on the network-based publication system is disclosed. Seasonality data is generated for each of the items. The generating of the seasonality data includes identifying a season corresponding to transaction data pertaining to each of the items and storing the seasonality data in conjunction with the transaction data in a database. The season pertains to a selected user action that is to result in a presentation of a user interface on a device of the user. Seasonality scores are calculated and associated with the items featured in a subset of the listings that are candidates for inclusion in the presentation of the user interface. Relevancy scores are adjusted for each of the candidates and are incorporated into a presentation of the listings in the user interface.
    Type: Grant
    Filed: December 2, 2020
    Date of Patent: January 18, 2022
    Assignee: eBay Inc.
    Inventors: Neeraj Jain, Laura Bermudez
  • Patent number: 11227228
    Abstract: A processing apparatus is disclosed for representing cognitively biased selection behavior of a consumer as a learnable model with high prediction accuracy taking into account even feature values of a product and the consumer. The processing apparatus generates a selection model obtained by modeling selection behavior of a selection entity that selects at least one choice out of presented input choices. The processing apparatus includes an acquiring unit to acquire training data including a plurality of input feature vectors that indicate features of a plurality of the choices presented to the selection entity and an output feature vector that indicates a feature of an output choice. The processing apparatus further includes an input combining unit to combine the plurality of input vectors to generate an input combined vector, and a learning processing unit to learn a selection model on the basis of the input combined vector and the output vector.
    Type: Grant
    Filed: February 17, 2020
    Date of Patent: January 18, 2022
    Assignee: International Business Machines Corporation
    Inventors: Tetsuro Morimura, Takayuki Osogami, Makoto Otsuka
  • Patent number: 11222346
    Abstract: Systems and methods are provided for electronic stimulus evaluation through one or more signals. The one or more signals protect underlying raw data relating to behavior, including purchase behavior and location-based behavior. A server platform in network communication with at least one signal buyer computer and at least one signal provider computer facilitates creation of the one or more signals. Anonymized object identifiers are used to identify objects or consumers associated with behavior data and exposure to the electronic stimulus. The server platform provides optimization analytics for the stimulus based on the one or more signals, which include measurement signals, behavior signals, and lift signals.
    Type: Grant
    Filed: November 22, 2017
    Date of Patent: January 11, 2022
    Assignee: COMMERCE SIGNALS, INC.
    Inventors: Thomas Noyes, Rodney C. Cook, Neil Bushong
  • Patent number: 11216832
    Abstract: A computer-implemented method includes: obtaining first environmental factor data of a first time period and first historical payment data of a target Internet of Things (IoT) device in the first time period, in which the first time period is before a first time point; obtaining second environmental factor data of a second time period that is after the first time point; and obtaining a prediction, using a neural network model, operating on at least one computing device, of an estimated statistical distribution of one or more users who execute transactions using the target IoT device in the second time period, in which the first environmental factor data, the first historical payment data, and the second environment factor data are inputs to the neural network model.
    Type: Grant
    Filed: March 3, 2020
    Date of Patent: January 4, 2022
    Assignee: Advanced New Technologies Co., Ltd.
    Inventors: Yong He, Liang Zhang, Tian Chen, Yicong Fan, Jinhua Lei, Bei Liu, Han Mei, Guolai Ma
  • Patent number: 11210746
    Abstract: Systems and methods for identifying a selected set of users of a social networking service which, upon issuing a notice regarding a re-post activity of an item of content, will likely result in heightened user interaction with the service. Upon receiving a notice of a re-post action by a first user, the social networking service identifies a first set of users of the service that have posted that item of content. Scores are associated with the users of the first set of users, the scores indicating a likelihood of a user that, if notified of the re-post action of the first user, will result in heightened user interaction with the social networking service. A subset of users of the first set of users are identified according to their associated scores and a notice of the re-post action by the first user is sent to the users of this subset of users.
    Type: Grant
    Filed: November 7, 2017
    Date of Patent: December 28, 2021
    Assignee: Pinterest, Inc.
    Inventors: Bo Zhao, Samuel Seth Weisfeld-Filson, John William Gupta Egan
  • Patent number: 11194821
    Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a universal relevance service framework for ranking and personalizing items.
    Type: Grant
    Filed: September 23, 2019
    Date of Patent: December 7, 2021
    Assignee: Groupon, Inc.
    Inventors: Greyson Edwards Gregory, Abhaya Parthy, Amber Roy Chowdhury, Sri Subramaniam
  • Patent number: 11195135
    Abstract: Described herein are systems and methods for an entity ranking system. In one embodiment, a computing system is configured to interface with one or more domains to identify a set of entities. The computing system can ascertain a first set of data components for each entity, normalize each of the first set of data components for each entity, and detect a failure to ascertain a second set of data components. The computing system can compute a statistical probability for a possible set of values for each data component of the second set based on the ascertained first set of data components. The computing system can rank each entity based on a derived quantile. The computing system can generate a graphical user interface including a visualization of the ranking of each entity, which can be rendered on a display of the at least one user computing devices.
    Type: Grant
    Filed: June 26, 2018
    Date of Patent: December 7, 2021
    Assignee: Refinitiv US Organization LLC
    Inventors: Omar Bari, Alex Constandache, Laura Gaze Morse, Emily Lyons, Michael Moore, Corey Ouellette, Brian Romer, Shraddha Sawardekar, Amit Shavit, Brian Ulicny
  • Patent number: 11182808
    Abstract: Methods and systems for analyzing trends in sale data for a retail enterprise are described. A retail analysis platform includes a data extraction and analysis automation platform, a feature transformation application, a modeling environment, and a dashboard application. Analysis begins with recent sales data. Baseline sales for the retail enterprise are removed from the recent sales data. Then the effects of seasonality and local disruptions are removed by utilizing different weights of driver data for each item category and store location. This top down approach results in more accurate reporting of sales trends and attribution of deviations from demand forecasts to particular drivers. The analysis can be scheduled to automatically initiate on a regular basis.
    Type: Grant
    Filed: February 5, 2019
    Date of Patent: November 23, 2021
    Assignee: Target Brands, Inc.
    Inventors: Brian Ohana, Deepak Kumar, Vinay Sathyan, Aishwarya Shukla
  • Patent number: 11182609
    Abstract: A method includes identifying one or more objects in one or more images of real-world scenes associated with a user, adding the identified one or more objects to a list of real-world objects associated with the user, assigning each object in the list of real-world objects to an object class based on object recognition, and providing a notification to the user that a content item has been associated with an object class assigned to one of the objects on the list of real-world objects associated with the user. A computer readable storage medium stores one or more computer programs, and an apparatus includes a processor-based device.
    Type: Grant
    Filed: March 21, 2019
    Date of Patent: November 23, 2021
    Assignee: Sony Interactive Entertainment Inc.
    Inventor: Glenn Black
  • Patent number: 11171845
    Abstract: A microservices-management system intercepts a request for a cloud-based microservice sent by a microservices-architecture application. The system selects an optimal cloud-service provider from a group of candidate providers capable of delivering the microservice and then forwards the request to the optimal provider. The optimal provider is selected by drawing cognitive inferences from stored blockchain records that each describe a characteristic of a previous delivery of the requested service. Each record is generated by one of the candidate providers when delivering an instance of the microservice, regardless of whether the provider is in a trusted relationship with the application owner. The providers are barred by blockchain's intrinsic security features from altering or deleting previously stored blockchain records. Upon delivery of the service, the system compares the actual quality or cost of the delivery with predicted values in order to learn how to more effectively select optimal providers.
    Type: Grant
    Filed: January 3, 2020
    Date of Patent: November 9, 2021
    Assignee: International Business Machines Corporation
    Inventors: Adrian Papacica, Todd Weston Arnold, Barry Michael Graham, Shenbaga Shankar, Alexandra Urman
  • Patent number: 11170391
    Abstract: Methods and systems for forecasting demand for a plurality of items are provided. In particular, the demand forecasting system and methods described herein are useful for predicting demand of products in a retail context. Forecast models are built and used to score incoming sales data to predict future demand for items. Forecast models are validated by evaluating actual demand against predicted demand and using that information to inform how future ensemble forecast will be generated. Forecasts may be broken down into smaller components to satisfy a variety of requests for data from client applications.
    Type: Grant
    Filed: October 26, 2018
    Date of Patent: November 9, 2021
    Assignee: Target Brands, Inc.
    Inventors: Adam Morgan, Anand Das, Samir H Shah, Phillip Yelland
  • Patent number: 11164229
    Abstract: A hypergraph is constructed based on historical shopping cart data. A node of the hypergraph corresponds to a shopping basket, and a hyperedge of the hypergraph corresponds to a unique product, the hyperedge connecting all nodes of the hypergraph representing baskets containing the unique product. A hypergraph partition algorithm identifies a cluster of shopping baskets represented in the hypergraph and determined to be similar to a given basket. Based on the cluster of shopping baskets a dual-level return prediction is performed. The dual-level return prediction includes predicting whether the given basket will be returned, and based on predicting that the given basket will be returned, predicting a probability that a product in the given basket will be returned. Based on predicting that the given basket will be returned, an ameliorative action is performed to reduce the probability.
    Type: Grant
    Filed: November 19, 2018
    Date of Patent: November 2, 2021
    Assignee: International Business Machines Corporation
    Inventors: Yada Zhu, Ajay Ashok Deshpande, Jae-Eun Park, Anna Wanda Topol, Xuan Liu
  • Patent number: 11164270
    Abstract: A method is provided for role-oriented risk analysis in a contract. The method generates, using deep semantic association analysis, a report specifying a set of potential risks relating to explicit and hidden roles of contract parties. The generating step categorizes input statements of the contract into respective obligation/right pairs according to a deep semantic association distribution thereof. Each pair includes a respective obligation and a respective right. The generating step detects deep semantic differences between the respective pairs and a set of reference obligation/right pairs. The generating step identifies the explicit and hidden roles of the involved parties in the respective obligations/rights pairs according to domain-specific use scenarios and multidimensional local and global context clues in the contract. The generating step identifies the set of potential risks by applying a deep semantic role-oriented risk entailment model to the deep semantic differences.
    Type: Grant
    Filed: September 27, 2018
    Date of Patent: November 2, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: HongLei Guo, Zhili Guo, Song Xu, Shiwan Zhao, Elaine M. Branagh, Pitipong Jun Sen Lin, Zhong Su
  • Patent number: 11163783
    Abstract: Techniques are disclosed herein for selecting a predictive model to perform on a set of hierarchical data. A selection of first time series data representing activity observed in a current period in a first hierarchy is received. Second time series data representing activity observed in a prior period in the first hierarchy is retrieved. Predictive models are performed using the second time series data as input, where each predictive model generates statistical outcomes for the current period. A score is generated in each of the plurality of predictive models based on a comparison of the statistical outcomes with the first time series data. Each of the predictive models is ranked based on the generated scores.
    Type: Grant
    Filed: May 31, 2017
    Date of Patent: November 2, 2021
    Assignee: OpenGov, Inc.
    Inventors: Gabor Melli, Matthew Seal
  • Patent number: 11164233
    Abstract: A computing system comprising a database of users, a database of garments, and a database of mappings, wherein a mapping maps one or more users of the database of users to one or more garments of the database of garments and wherein each mapping includes a weight for its corresponding user-garment pair.
    Type: Grant
    Filed: May 15, 2018
    Date of Patent: November 2, 2021
    Assignee: SAVITUDE, INC.
    Inventors: Nicholas Daniel Clayton, Camilla Marie Olson, Kelli Tomie Howard, Jungah Joo Lee
  • Patent number: 11158204
    Abstract: A method for predictively updating one or more user parameters associated with a user of a learning system includes predicting, based on the one or more user parameters, a predicted activity of the user, receiving an actual activity of the user, comparing the predicted activity to the actual activity, and updating the one or more user parameters in response to determining that the predicted activity does not match the actual activity. The method may further include scheduling one or more learning interactions based on the one or more updated learning parameters, where the scheduling includes selecting at least one of a timing of the one or more learning interactions or a type of the one or more learning interactions.
    Type: Grant
    Filed: May 11, 2018
    Date of Patent: October 26, 2021
    Assignee: CEREGO JAPAN KABUSHIKI KAISHA
    Inventors: Iain M. Harlow, Andrew Smith Lewis, Paul T. Mumma
  • Patent number: 11157923
    Abstract: Methods, apparatus, and processor-readable storage media for dynamically determining procurement user types are provided herein. An example computer-implemented method includes extracting data, from multiple data sources associated with multiple procurement users, pertaining to interactions between the multiple procurement users and one or more procurement destinations; dynamically updating, based on an application of one or more machine learning algorithms to the extracted data, one or more existing procurement user types; dynamically creating, based on the application of the one or more machine learning algorithms to the extracted data, one or more new procurement user types; and outputting, via at least one user portal, the one or more updated procurement user types and the one or more new procurement user types.
    Type: Grant
    Filed: January 30, 2018
    Date of Patent: October 26, 2021
    Assignee: Dell Products L.P.
    Inventors: Paul Sturrs, Liam Donnelly
  • Patent number: 11157853
    Abstract: Embodiments of the present invention provide a system, method and computer program product for forecasting a time series based on actuals and a plan. A method comprises generating a first and a second sequence of segments that rise and fall alternately based on a first and a second sequence of data values over time, respectively. The first and second sequence of data values represent actual data for an ongoing project and estimated data for a planned project, respectively. The method further comprises aligning at least one segment of the second sequence of segments with at least one segment of the first sequence of segments, and adjusting the estimated data by replacing at least one segment of the second sequence of segments with a scaled version of at least one corresponding aligned segment of the first sequence of segments. The scaled version maintains an estimated total for the planned project.
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: October 26, 2021
    Assignee: International Business Machines Corporation
    Inventors: Jeanette L. Blomberg, Neil H. A. Boyette, Anca A. Chandra, Se Chan Oh, Hovey R. Strong, Jr.