Abstract: Aspects of the present disclosure involve systems, methods, devices, and the like for augmented media intelligence using Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), data analytics and data visualization. In one embodiment, a system is introduced that can retrieve real-time data from social media platforms to perform augmented media intelligence analysis and take real time actions if necessary. In another embodiment, the augmented media intelligence is design to use the machine learning and natural language processing capabilities and social currency means for understanding an influencers reach within the augmented media intelligence system via an influencer score.

Abstract: A system for third party email parsing comprises an input interface and a processor. The input interface is configured to receive an email. The processor is configured to: 1) determine whether the email is from a lead generating system; and 2) in the event that the email is from a lead generating system: a) extract real estate lead information from the email based at least in part on the lead generating system; b) determine whether the real estate lead information is sufficient for a real estate related customer relations management database entry; and c) in the event that the real estate lead information is sufficient for a real estate related customer relations management database entry, add the real estate lead information to a real estate related customer relations management database.

Abstract: Methods, systems, and apparatuses may provide for the auto-determination of partial usage of a physical environment and use derived intelligence to take various actions. This may allow for partial resulting maintenance of the physical environment based on a single use or use over time.

Abstract: A processor may receive user interaction data of a user for a plurality of electronically-presented offers. The processor may generate a plurality of labels, the generating comprising generating a label for each respective offer according to a comparison of the quality of the user interactions of the respective offer to the frequency of the user interactions of the respective offer. Each label may be a positive label or a negative label. The processor may determine whether the generating produced both positive and negative labels. The processor may select one of a plurality of available ML models, wherein a two-class ML model is chosen in response to determining that the generating produced both positive and negative labels and a one-class ML model is chosen in response to determining that the generating did not produce both positive and negative labels. The selected ML model may be trained and/or may be used to process user profile data and provide recommendations.

Abstract: A method includes generating a utility portal interface in response to a request from a utility computer system that receives parameters that specify a demand response event; providing a display of groups of energy-consuming locations that are available to be selected to participate in the demand response event; providing a display of an energy demand profile for the utility during the demand response event; receiving a selection of a subset of the groups of energy-consuming locations to participate in the demand response event; causing the display of the energy demand profile for the utility during the demand response event to be dynamically updated as the subset of the groups of energy-consuming locations are selected or deselected by the utility computer system to participate; and sending transmissions to thermostats associated with the subset of the groups of energy-consuming locations to execute the demand response event.

Abstract: A facility for determining a housing index value for a subject geographic region for a subject period in time is described. For each home in a set of homes within the subject geographic region, the facility determines home attribute values; applies a first valuation model and second valuation for the subject geographic region to the home attributes to obtain estimated values of the home at the beginning and end of the subject period, respectively; and determines an appreciation rate for the home on the basis of the estimated values of the home at the beginning and end of the subject period. The facility combines the appreciation rates to obtain an aggregate appreciation rate for the subject period, and combines the aggregate appreciation rate for the period with a housing index value for a prior period to obtain the housing index value for the subject geographic region and subject period.

Abstract: Methods and systems are provided for generating and providing insights associated with a journey. In embodiments described herein, journey data associated with a journey is obtained. A journey can include journey paths indicating workflows through which audience members can traverse. The journey data can include audience member attributes (e.g., demographics) and labels indicating journey paths traversed by audience members. A set of audience segments are determined that describe a set of audience members traversing a particular journey path. The set of audience segments can be determined using the journey data to train a segmentation model and, thereafter, analyzing the segmentation model to identify patterns that indicate audience segments associated with the particular journey path. An indication of the set of audience segments that describe the set of audience members traversing the particular journey path can be provided for display.

Abstract: Systems and computer-readable media for generating dynamic pricing rules to govern offered price-volume break points. Initial target price-volume break points are offered during a time window. For each transaction of the product, transaction information including the transacted price, quantity, and identifying information of the purchaser is received. Based on a sales trend determined from the transaction information, the time window and the offered price can be updated. After the expiration of the time window, redemptions are generated for each purchaser of the product, based at least in part on the final quantity sold during the time window and the offered price-volume break points. A market price elasticity function is interpolated from observed market price elasticities at each price-volume break point. Using the market price elasticity function, dynamic pricing rules are optimized and updated and then used to calculate updated price-volume break points to be offered for the product.

Abstract: A server apparatus includes a processor configured to manage identification information of a registered vehicle registered in advance, acquire identification information on a vehicle of a user who wants to replace the batteries from a vehicle key device, acquire fee-related information from the vehicle key device, the fee-rerated information being at least one of a travel distance and a battery usage amount of the vehicle of the user, calculate a usage fee of the batteries based on the fee-related information, determine permission and prohibition to replace a battery, control a lock device which enables taking-out of the batteries accommodated in the battery stand, determine the permission and prohibition to replace the batteries based on the identification information acquired from the vehicle key device and the identification information, and unlock the lock device when it is determined to permit replacing the batteries.

Abstract: A consumer's location relative to specific products situated within a store are tracked. Observed consumer behaviors are noted as well as return visits to a particular product area by the consumer while in the store. A notification is provided to an engagement manager and automated consumer assistance or product purchase enticements are provided to the consumer while the consumer remains in the store as automated actions processed in response to the consumer behaviors.

Abstract: A system and method for omnichannel text-based routing, transfer, and customer-to-enterprise communications. The system is a cloud-based network containing an interaction control server, a routing engine, an optimization engine, a media translation server, a mobile application, a business entity portal, mobile and compute devices for business enterprise and customer, and an enterprise database. Taken together or in part, said system optimizes customer interactions by delivering context aware text message, chat or email to customers; and when requested by customer, optimally routes with context, based upon a multitude of variables, to best available resource to handle the customer interaction. The system may be accessed through web browsers or purpose-built computer and mobile phone applications.

Abstract: Group actions may be performed on behalf of multiple users based in part on the suitability of the various user devices of the different users to perform such group actions. Different user devices may also be used to generate different query intent determinations for a query such that the query intent determination made by a particular user device may be used to fulfill the query.

Abstract: A system and method of determining a policy to prevent fading drivers is described. The system and method creates virtual trajectories of incentives such as coupons offered to drivers in a transportation hailing system and corresponding states of drivers in response to the incentives. A joint policy simulator is created from an incentive policy, a confounding incentive policy, and an incentive object policy to generate the simulated actions of drivers in response to different incentives. The rewards of the simulated actions of the drivers is determined by a discriminator. The incentive policy for preventing fading drivers is optimized by reinforcement learning based on the virtual trajectories generated by the joint policy simulator and discriminator.

Abstract: Some embodiments described herein relate to a computer-implemented method that includes receiving an indication of text content and an indication of image content appearing on a webpage that offers a product for sale. A first trained machine learning classifier can be applied to the text content to produce a first classification of the product. A second trained machine learning classifier can be applied to the image content to produce a second classification. A trained combination machine learning classifier can be applied to the first classification and the second classification. The combination machine learning classifier can be configured to predict a third class of the product. A warranty can be defined and/or offered based on the third class of the product.

Abstract: Various embodiments are generally directed to method and devices to receive biometric data and transaction data relating to a transaction, apply a model to the biometric data and the transaction data to determine an emotional state of the user during the transaction, and determine an action associated for the transaction based on the emotional state of the user during the performance of the transaction. Embodiments further include causing performance of the action.

Abstract: The solution described herein provides a system for issuing and redeeming digital coupons. This includes receiving a request for a digital coupon from a user device including a unique hardware identifier (ID). Then sending a first localization request and receiving, a first location of the user device. In response, generating a software object representing the digital coupon and including a security token, sending the software object to the user device, updating a status of the digital coupon as issued in a database, storing the unique hardware ID in the database, and associating the unique hardware ID with the digital coupon. Receiving a request to redeem the digital coupon from the user device. In response, sending a second localization request, receiving a second location of the user device, providing a redemption code, and updating the status of the digital coupon as redeemed.

Abstract: Systems and methods are provided herein for enhanced waste item organization. In some embodiments, an example method may include receiving, by a sensor of a device, image data associated with a first waste item. The example method may also include determining, based on the image data associated with the first waste item, a product characteristic of the first waste item. The example method may also include determining, based on the product characteristic of the first waste item, that the first waste item is associated with a first waste receptacle of a plurality of waste receptacles. The example method may also include presenting an indication of the first waste receptacle to the user.

Abstract: Using identifiers on user payment instruments to identify user loyalty accounts comprises a method to store a loyalty account list associated with a user, the loyalty account list comprising one or more user loyalty accounts; associate an identifier with the loyalty account list; receive information identifying a user loyalty account associated with a merchant, the information comprising an account number for the user loyalty account and an identity of the merchant; associate the user loyalty account with the loyalty account list; receive a request for information identifying a user loyalty account associated with a merchant, the request comprising the identifier received by the merchant from a user payment instrument and an identity of the merchant; determine the user loyalty account associated with the merchant; and provide the information identifying a user loyalty account associated with a merchant.

Abstract: Techniques and arrangements for concurrent processing of payments to multiple merchants in a shared program are described. A method, performed by a service computing device, can include receiving customer information associated with two transactions of a customer with two respective merchants that are in a shared program. Accrued benefits of the customer for conducting the two transactions in accordance with the program can be determined. The accrued benefits can be communicated to the customer via a customer device. The payments for both transactions can be processed, concurrently, in accordance with the accrued benefits. In examples, the merchants may be associated in the shared program based on locations of the merchants, a type of merchant, and/or goods or services offered for sale by the merchants.

Abstract: A sale data processing device includes a member storage memory configured to store input member specification information, and a processor configured to determine whether or not an acquired sale target is a sale target to be sold only to only a member, on the basis of specification information for specifying the sale target. The processor is configured to execute a settlement process related to the sale target only when the sale target is a sale target to be sold to only a member and the member information is stored in the member storage memory.

Abstract: An omni-channel coupon system may link electronic coupons across several couponing channels by storing the electronic coupons in association with a user profile or loyalty account. A user may clip electronic coupons from several couponing channels, such as a mobile application, retail web page, social networking web page, email, short message service (SMS) message, a physical coupon, a manufacturer/third-party web page or other affiliated web page, a manufacturer/third-party application, etc. Each clipped electronic coupon may be stored with a user profile for the user. When the user purchases products or items at an online or retail store, the electronic coupons may be retrieved from the user profile and redeemed.

Abstract: One or more computing devices, systems, and/or methods for mailbox-based coupon display are provided. For example, a plurality of email messages stored in a mailbox of a first email account of a first user may be identified, and may be evaluated to identify a plurality of coupons. The plurality of coupons may be analyzed to determine one or more coupon features. User data and/or activity data associated with the first user may be analyzed to determine one or more user features. A predictive model may be tuned based upon the one or more coupon features and/or the one or more user features. A set of scores may be generated for the plurality of coupons based upon the predictive model. A graphical user interface may be controlled based upon the set of scores to display one or more coupons.

Abstract: Certain aspects of the disclosure are directed to contact center management, using a data communications server. According to a specific example, the data communications server includes one or more computer processor circuits coupled to memory circuits and configured to interface with a plurality of remotely-situated client entities. The data communications server may be configured and arranged to monitor a plurality of communications placed to target recipients in a first communications-based campaign of a first client entity among the plurality of remotely-situated client entities, and to determine a disposition of each of the plurality of communications based at least on data received and relating to the plurality of communications.

Abstract: Various implementations of the invention for predicting customer behavior are described.

Abstract: A method and apparatus for tracking a conversion of an advertisement provided through an application are disclosed. The method includes generating, in response to selection of an advertisement through a first application installed on a first user terminal, a click log including a first advertiser identifier corresponding to an advertiser of the advertisement and a first user identifier corresponding to the first user terminal, generating, in response to reading of an informational message through a second application installed on a second user terminal, a conversion log including a second advertiser identifier corresponding to a sender of the informational message and a second user identifier corresponding to the second user terminal, and tracking whether a conversion event occurs due to the advertisement by mapping the click log and the conversion log.

Abstract: A disclosed example apparatus to monitor a media device includes: an input to obtain a signal at a universal serial bus port of the media device; and a bit rate comparator to: determine the media device is involved in a data transfer if a bit rate of the signal exceeds a threshold; and determine the media device is not involved in the data transfer if the bit rate of the signal does not exceed the threshold.

Abstract: Identifying potentially unfair practices in content and serving relevant advertisements is described. A total risk score associated with an online advertisement is determined by a computer system based on a first risk score and an issue risk score. The first risk score is based on online content associated with the online advertisement and the issue risk score is based on one or more risk attributes associated with the online advertisement. The total risk score is transmitted to a client computer, where the total risk score is displayed through a user interface in conjunction with the display of the online advertisement on the client computer.

Abstract: Systems and methods for redeeming a reward held by an individual are described. A method for redeeming a reward includes determining threshold criteria for provision of a targeted reward redemption offer, identifying at least one individual based upon the threshold criteria, determining the targeted reward redemption offer, and providing the targeted reward redemption offer to the identified individual. A response to the provided targeted reward redemption offer may be received, and an account of the identified individual may be adjusted in accordance with the targeted reward redemption offer and the received response.

Abstract: An electronic device for displaying a target advertisement which displays a content screen on a display based on content data received from an external server, transmits information about the electronic device to the external server for a target advertisement, and receives first target advertisement information determined based on the information about the electronic device from the external server and displays a target advertisement by using the received first target advertisement information.

Abstract: Methods and systems are described for providing advertising services to devices with a customized adaptive user experience. In one embodiment, a system includes a user interface (UI) configurator to provide a custom scripting framework to create and edit customizable ad formats for display on a device. The ad system receives an ad request from the device with the ad request including different types of information including publisher settings of a selected software application on the device, an application id to identify the selected software application, placement information for timing placement of at least one ad or interstitial ad to be displayed on the device. The ad system processes the ad request to determine an ad format and timing placement of the at least one ad or interstitial ad based on the information contained in the ad request.

Abstract: An auto-login system and process enable maintaining user accounts on a server without a user having to register or create a user name, password, or other authentication method. An account may be created without user knowledge. The server may transmit a content item to a target user, along with a link. A server identifies the target user from use of the auto-login link and collects interaction or “engagement” data while the user is logged in, to assess user interest in products, for example, a mutual fund investment product, which may be characterized by tags and/or categories. The system may quantify a product salience metric for a given product relative to a target user's interest profile to focus marketing efforts and support engagement with interested target users, especially securities funds and financial advisors.

Abstract: The present invention relates to a mobile advertisement providing system, and more specifically to technology for a mobile advertisement providing system which includes an information display button and displays content and advertisement information provided onto a current screen in response to the manipulation of the information display button.

Abstract: An information processing method to be carried out by a terminal that is configured to communicate with an electronic device, is provided. The electronic device is configured to manage information related to a vehicle that is provided with a display device for displaying an advertisement, and the information processing method may include: receiving vehicle usage fee information related to a vehicle usage fee for the vehicle from the electronic device through a communication interface of the terminal, the vehicle usage fee for the vehicle being based on advertisement information related to the advertisement displayed on the display device of the vehicle and information related to an advertisement display situation where the advertisement is displayed on the display device; and displaying a first display that is based on the vehicle usage fee information, in a display area of the terminal.

Abstract: Keyword bids determined from sparse data are described. Initially, a portfolio optimization platform identifies which keywords included in a portfolio of keywords are low-impression keywords. This platform trains a machine learning model to generate bids for the low-impression keywords with historical data from a search engine. In particular, the platform trains this machine learning model according to an algorithm suited for training with sparse amounts of data, e.g., a temporal difference learning algorithm. In contrast, the platform uses different models, trained according to different algorithms than the low-impression keyword model, to generate bids for keywords determined not to be low-impression keywords. Once the low-impression keyword model is trained offline, the platform deploys the model for use online to generate actual bids for the low-impression keywords and submits them to the search engine.

Abstract: The present disclosure is directed to automatically receiving, modifying, sequencing, and displaying vehicle images for marketing to prospective buyers. A seller uploads images of a vehicle to the system, which system uses artificial intelligence and machine learning to classify the images, identify objects within the images, add backgrounds, banners, and hotspots, and generate metadata associating the results of the foregoing processes with the particular images. The system uses the stored metadata to sequence the images in a format predetermined by the seller and upload the sequenced images for display to a prospective buyer.

Abstract: A computer-implemented method for predicting interchange charges includes: retrieving a historical transactions set, where each completed transaction in the set includes transaction features, a bank identification number (BIN), and a corresponding true interchange code; transforming all BINs in the set into a corresponding plurality of BIN features that comprise probabilities; creating a first training set including all transaction features, all pluralities of BIN features, and all true interchange codes associated with the historical transactions set; training a random forest model using the first training set and generating a second training set including rounded BIN features, rounded transaction features, discrete ones of the transaction features, and the true interchange codes; training the random forest model using the second training set to generate a trained random forest model for prediction of the interchange codes; and executing the trained random forest model for new transactions to generate corres

Abstract: A service engine of a processor-based system determines an estimated amount of taxes due in association with a proposed transaction based on a risk tolerance value specified by a party to the transaction, such as a seller. Multiple classification code queries are generated for classifying an item that is the subject of the proposed transaction, from which a plurality of classification code candidates are determined. Each such classification code candidate is considered in determination of multiple corresponding possible tax-due amounts, and the taxes due for the proposed transaction are determined by the service engine based on a statistical calculation corresponding to the specified risk tolerance value. The service engine provides the estimated tax due amount to one or more parties to the proposed transaction.

Abstract: A method for generating an order includes acquiring by one or more processors, an initial image and a first detection result of a target container before being subjected to a pick-up operation, where the first detection result includes a first detection image with a number of first commodity frames obtained by processing the initial image, and first identification information corresponding to a commodity in each of the first commodity frames, acquiring by one or more processors, a result image of the target container after performing the pick-up operation, generating by one or more processors, an RGB difference image between before-shopping and after-shopping, based on the result image and the initial image, where the RGB difference image is obtained by calculating an absolute value of differences of individual pixels of the initial image and the result image before and after shopping in three RGB channels.

Abstract: Segmentation first breaks the images into segments or regions, with the segments of the region having text or symbols. The segmented image is separately applied to two different CNN-based models. Each model produces text boxes where potential text might exist. Then, a selective NMS algorithm is applied to the output of each model to produce a final group of text regions. These text regions are analyzed and actions are taken.

Abstract: An order processing method comprising: obtaining first order information and order sharing condition information, and generating an order sharing invitation message according to the first order information and the order sharing condition information; receiving an answer message returned by a target terminal according to the order sharing invitation message, and obtaining, according to the answer message, second order information and an acknowledged data transfer state indicated by the second order information; performing combination processing on the first order information and the second order information according to the acknowledged data transfer state returned by the target terminal, and generating settlement order information; and performing settlement on the settlement order information according to the order sharing condition information when the settlement order information meets an order sharing condition indicated by the order sharing condition information.

Abstract: In an exemplary embodiment, software made in accordance with the present invention generates a request for quote (RFQ) based on user-provided information, presents a user interface allowing a user to customize the RFQ, generates an e-mail including the RFQ, and sends the e-mail to one or more suppliers. Various corresponding and related systems, methods, and software are described.

Abstract: A computer system receives user-specified settings for a custom formulation of a personal care product, obtains manufacturing parameters for the custom formulation based at least on part on the user-specified settings for the custom formulation; and transmits the manufacturing parameters to a manufacturing computer system. The manufacturing parameters are configured to initiate or guide a manufacturing process to produce the custom formulation of the personal care product. The computer system also receives user-specified settings for a personal care device having at least one computer-controlled component, obtains operational parameters for the personal care device based at least in part on the user-specified settings for the personal care device; and transmits the operational parameters to a remote computing device in communication with the personal care device.

Abstract: A system, platform and method for personalized shopping are provided. In some embodiments, a personalized shopping assistant system may include a Point of Sale based automated shopping assistant apparatus, for generating a 3D user shopping profile based on a capture of at least a part of a user's body; a shopping assistant server connected to a shopping assistant database, based in a communications cloud, wherein the user shopping profile is uploaded to the shopping assistant database; a mobile device application for applying the user shopping profile in a store, using the user's mobile device; and multiple product identifiers for enabling the user to capture selected products using the mobile device application, wherein the product identifiers include scannable product data that is stored on the shopping assistant database.

Abstract: In one embodiment, a method includes receiving a user input from a first user from a client system associated with the first user, determining one or more products of interest to the first user based on one or more machine-learning models and the user input, accessing social data associated with the one or more products of interest from a data store, wherein the social data comprises social signals or content objects associated with one or more second users, each second user being within a threshold degree of separation of the first user within a social graph, generating one or more social summaries associated with the one or more products of interest based on the accessed social data, and sending instructions for presenting the one or more social summaries of the one or more products of interest to the client system.

Abstract: A method includes determining a first taxonomy of an anchor product. The first taxonomy includes a plurality of levels for classifying products organized from a highest taxonomy level to a lowest taxonomy level. The method further includes determining a second taxonomy closest to the first taxonomy. The second taxonomy is associated with a group of products, the first taxonomy and the second taxonomy have at least a common highest taxonomy level, and the determination is made at least in part based on co-purchase data indicating that the anchor product and at least one product in the group of products are purchased together more often than products associated with other taxonomies are purchased with the anchor product. The method further includes determining a most similar product to the anchor product from the group of products of the second taxonomy and associating the anchor product and the most similar product with one another in a product collection.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, perform certain acts. The acts can include obtaining reorder likelihood scores for items that a user has ordered historically. The acts also can include grouping the items into groups using a taxonomy. The acts additionally can include adjusting the groups based on a respective number of items in each of the groups and a respective group-specific threshold for each of the groups. The acts further can include ranking the items within the groups based on the reorder likelihood scores. Other embodiments are described.

Abstract: An online concierge system uses a machine learning click through rate model to select promoted items based on user embeddings, item embeddings, and search query embeddings. Embeddings obtained by an embedding model may be used as inputs to the click through rate model. The embedding model may be trained using different actions to score the strength of a customer interaction with an item. For example, a customer purchasing an item may be a stronger signal than a customer placing an item in a shopping cart, which in turn may be a stronger signal than a customer clicking on an item. The online concierge system generates a ranking of candidate promoted items based on the search query and using the click through rate model. Based on the ranking, the online concierge system displays promoted items along with the organic search results to the customer.

Abstract: This disclosure describes techniques for utilizing sensor data to automatically determine the results of events within a system. Upon receiving sensor data indicative of an event, the techniques may analyze the sensor data to determine a result of the event, such as that a particular user associated with a user identifier selected a particular item associated with an item identifier. Contents of a virtual shopping cart of the user may be maintained based on this automated analysis of sensor data. In some instances, when a confidence level associated with a result is less than a threshold, the sensor data may be sent to a client computing device for analysis by a human user. Further, when the result of an event changes from a first result to a second result, other events already processed may be reprocessed to ensure accuracy of the results.

Abstract: Processing inputs to electronic list systems. Receiving, from a user device, a user input. Parsing the received user input for at least one of {product genus, product subgenus, product name, brand name, price information, retailer name, manufacturer name}. Querying a history of user activity using the parsed input. Receiving at least one product description responsive to the query. Presenting, via the user device, each received at least one product description to the user.

Abstract: Techniques and systems for beacon triggered device to device content transfer are disclosed. A described technique includes presenting, at an interactive beacon device, content including an interactive store catalog; receiving, at the interactive beacon device, user input responsive to the content; generating, at the interactive beacon device, a beacon message that can include transaction information based on the user input and the content, the transaction information including a service or product identifier corresponding to a product or service selected from the interactive store catalog; and transmitting, from the interactive beacon device, the beacon message over a short-range communication link to a mobile device. The beacon message can be configured to cause an application on the mobile device to advance a transaction associated with the transaction information.