Abstract: The disclosure herein provides systems and methods for a media enhancement system configured to associate a secondary media signal (for example, the secondary media signal can comprise an advertisement) to a primary media signal (for example, a radio broadcast). The disclosure herein additionally provides systems and methods for a media enhancement system that enables the generating, transmitting, displaying, and/or responding to a plurality of associated and/or unassociated secondary media signals, based on a primary media content from a primary media signal, user characteristics (for example, demographic and/or geographic information), and/or third-party preferences (for example, the goals of advertisers). The secondary media signals can be used to enhance the primary media content already being provided to the user on a user device. The secondary media signals can also be used to create psychological associations or relationships with the primary media content already being provided to the user.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for managing business deals. The mechanisms and methods for managing business deals may enable embodiments to provide a dynamic and interactive user-interface including any combination of contacts, accounts, opportunities, allowing users to create tasks, events, leads (e.g., from Data.com), reports, dashboards, instant messenger, external deal spaces, email service (e.g., Outlook), a cloud-based productivity suite for businesses that allows work on any device (e.g., Google apps), mobile access, private messaging, lead management, mass email templates, social media monitoring (e.g., from Radian6), role-based sharing and security, and/or additional storage, for example. In an embodiment, the number of contacts may be unlimited.

Abstract: Systems, methods, and computer-readable storage media for distributed and automated prediction of future customer revenue are provided. One method involves accessing data structures, each representing a unique customer, storing a set of customer-specific characteristics, segregating the data structures into groups based on a target amount of data structures for each group, and inputting the customer-specific characteristics into a training model. The method includes generating a set of prediction model parameters for each group by applying the customer-specific characteristics to a training model. The method includes transforming the characteristics of each data structure in a first group into respective future revenue values using a first non-linear prediction model, and the characteristics of data structures in a second group into respective future revenue values using a second prediction model.

Abstract: Method, computer program product, and system to trigger one or more events during an interaction of a person with an item and within an environment having a plurality of items. The method includes acquiring, using a first visual sensor disposed within the environment, image information including the item and identifying the item using the image information. The method further includes acquiring, using a second visual sensor disposed within the environment, behavior information for the person relative to the identified item, analyzing the behavior information to identify at least a first behavior of the person, and classifying the first behavior into one of a number of predefined behavior types. The method further includes performing, based on the identified item and the classified first behavior, one or more predefined events.

Abstract: An embodiment herein provides a work selection system that receives content from a plurality of content creators, who may submit creative work in electronic format through a network. Additionally, the work selection system may receive ratings by a plurality of evaluators. The work selection system incorporates a systematic procedure to periodically create a curated collection from the large body of work that may be submitted by the plurality of content creators on a continuous basis. The selection procedure leading to the production of the curated collection is based on the ratings provided by the plurality of evaluators. The procedure also periodically purges content less favorable to the plurality of evaluators.

Abstract: A system and method are disclosed for scoring an interaction over one or more channels by an end user and an entity by monitoring the communications over the channels and assigning penalties and scores based on topics associated with the communications.

Abstract: In one aspect, a computerized method useful for a detecting a data-center bot interacting with a web page includes the step of inserting a code within web page source. The computerized method includes the step of detecting that the web page is visited by a machine, wherein the machine is running a web browser to access the web page. The computerized method includes the step of rendering and loading the web page with the code in the web browser of the machine. The computerized method includes the step of, with the code, creating a hidden canvas element.

Abstract: The present invention provides a method and apparatus for searching information. The method is for, in response to receipt of a keyword from a search user of a plurality of users, searching in an information repository to obtain one or more information items to be returned; and returning the information item to the search user based on an importance of each information item of the one or more information items. With the method, it is possible to fully leverage various objective internal relationships between search users, information items and creators and thus improve the search accuracy.

Abstract: The present invention discloses a real-time and time-distributed information recommendation system, method and apparatus. Specifically, when first clients of the information recommendation system running on first terminal devices access and operate on pieces of information, influence values of the pieces of information on friend clients of the first clients are calculated, accumulated and recorded in a database based on fried intimacy and types of the operations at the times the pieces of information are accessed and operated on. As such, the influence values of the pieces of information on friend clients are updated over time and in real-time. The speed and efficiency of processes for recommending information to the friend clients, when requested, are thus improved.

Abstract: A robotic customer service agent (“robot”) is provided to a service location. The robot may present a number of security concerns that, whether realized or not, present barriers to acceptance. A robot is provided that is determined to be in compliance with a security criteria. The security criteria may be related to software (e.g., running anti-virus software), hardware (e.g., an added camera is secure), communication (e.g., no unexpected communications), or other aspect. Should the robot be in compliance, it may operate in a secure mode, such as to perform or access more sensitive information. If the robot is not in compliance, the robot is operated in a non-secure mode, such as to block data transmissions, information capturing, or other process or operation that may present a security risk.

Abstract: A system of assessing deployments in a network-based media system is provided herein. The system include a data storage system storing observation vectors, each observation vector being associated with an outcome indicator, and a processing device in communication with the data storage system to receive and store observation vectors and associated outcome indicators. The processing device performs operations including communicating with an endpoint device of a user to obtain information associated with the endpoint device; and transmitting an instance of a variable user interface to the endpoint device for presentation to the user via the endpoint device based on the stored observation vectors, the stored associated outcome indicators, and the obtained information associated with the endpoint device. Related systems and methods are also disclosed.

Abstract: A method includes: receiving information regarding a plurality of completed transactions from a plurality of users; receiving a query from a first user regarding a proposed transaction; determining at least one affinity between the first user and the plurality of users based on the information; determining a ranking or expectation of success for each of a plurality of potential entities for the proposed transaction based on the at least one affinity; selecting a plurality of selected entities based on the ranking or expectation of success for each of the potential entities; and sending, in response to the query, the plurality of selected entities to the first user.

Abstract: A system for detecting deception is provided. The system comprises a camera, an image processing unit, and a notification device. The camera is configured to capture an image sequence of a person of interest. The image processing unit is trained to determine a set of bitplanes of a plurality of images in the captured image sequence that represent the hemoglobin concentration (HC) changes of the person, and to detect the person's invisible emotional states based on HC changes. The image processing unit is trained using a training set comprising a set of subjects for which emotional state is known. The notification device provides a notification of at least one of the person's detected invisible emotional states.

Abstract: In accordance with the teachings described herein, systems and methods are provided for conducting a search of a network for information related to a topic specified by a search initiator. A query may be generated that includes search information and a first-degree contact. The first-degree contact may be an electronic record that represents a member of the social network, and the search information may identify the topic. One or more electronic records that each represent a social-network member may be searched using the query to identify one or more social-network members that are identified in connection with the topic and who are directly or indirectly associated with the first-degree contact.

Abstract: A method includes capturing images with an image sensor while switching the shutter speed of the image sensor between a first speed and a second, higher speed. When a captured subject is a barcode, a barcode image is obtained when the shutter speed is the first speed, and barcode information is obtained by decoding the barcode in the image. When a captured subject is a light source, a bright line image including bright lines corresponding to a plurality of exposure lines included in the image sensor is obtained when the shutter speed is the second speed, and a visible light signal is obtained as visible light information by decoding a pattern of the bright lines in the obtained bright line image. The method also includes displaying an image obtained through capturing performed when the shutter speed is the first speed.

Abstract: Systems, devices, and methods are described herein for calculating a trust score. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses/corporations. A system trust score may be calculated for an entity by combining a variety of factors, including verification data, a network connectivity score, publicly available information, and/or ratings data. A peer trust score targeted from a first entity to a second entity may also be calculated based on the above factors. In some embodiments, the peer trust score may be derived from the system trust score for the target entity and may take into account additional factors, including social network connections, group/demographic info, and location data. Finally, a contextual trust score may be calculated between the first and second entities based on a type of transaction or activity to be performed between the two entities.

Abstract: A method includes receiving an input identifying a target audience segment (e.g., reflecting a behavior, perspective, or opinion an advertiser would like to influence/increase). The method further includes identifying a first attribute measured by a measurement system, where the first attribute is determined to correlate to users tracked by the measurement system and that belong to the target audience segment, which reflects the behavior that the advertiser wants to influence/increase. The method further includes identifying a second attribute that corresponds to the first attribute, where a messaging action directed to the first attribute, the second attribute, or a combination thereof is available at one or more digital networks. The digital networks may require payment for message delivery or may allow such messaging for free. The method further includes initiating the messaging action aimed at driving behavior directed to the first attribute, the second attribute, or a combination thereof.

Abstract: An image control method includes referencing a first storage section where selection option information, for which a selection operation is received on a display device, is stored in association with a selection timing, and a second storage section where detection information, detected by a detection device that detects at least one of a state of a area at which the display device is disposed or a state of a user, is stored in association with detection time information; and identifying an item of selection option information stored at the first storage section in association with a timing that corresponds to the time information stored at the second storage section in association with detection information indicating a predetermined state; and effecting control so as to display the identified item of selection option information on the display device using a different display mode from that of other displayed selection option information.

Abstract: A method includes presenting a list of one or more videos via a user interface, receiving a selection of a target video to watch from the list, playing the target video in the user interface, and updating the user interface to present one or more suggested videos concurrently with playback of the target video. The one or more suggested videos are predicted to be watched by a user for at least a threshold duration.

Abstract: Aspects of the subject disclosure may include, for example, monitoring a user in a showroom to generate shopping parameters of the user, determining that the user is seeking to purchase a product in the showroom according to the shopping parameters, obtaining user data of the user in response to the determining that the user is seeking to purchase the product, analyzing the user data, selecting interaction data from among a group of interaction data according to the analyzing of the user data, and providing the interaction data to a computing device of a sales agent to enable the sales agent to transact with the user for the purchase of the product. Other embodiments are disclosed.

Abstract: A research, analysis, regulatory compliance and media platform that connects customers to finished research and analysis produced by subject matter experts is described. The platform facilitates research, investigations, and analysis by creating a single environment in which a group of distributed analysts conduct research and investigations, store and retrieve documents and other sources, collaborate, and publish findings. Consumers are able to query a published knowledge graph, surface high value relationships, and access insights captured by analyst through a customer web portal or external production environment. The platform allows analysts and customers to research and map the commercial, financial, and facilitation networks of sanctioned or other actors that may be associated with illicit activity. Customers can access visual graphs depicting relationships between sanctioned and non-sanctioned actors in order to evaluate their possible exposure to financial crime or sanctions-related risks.

Abstract: In an example embodiment, a user interface is distributed to a user application operating on a client device. Then interactions between users on one or more client devices and one or more server devices are tracked. The user interface is then modified based on the information about the interactions. The modified user interface may then be distributed to the user application.

Abstract: In some embodiments, systems, apparatuses, and methods are provided herein useful to monitor a shopping facility. The shopping facility can include an array of radio frequency identification (RFID) readers distributed throughout the facility to thereby receive and read signals generated from RFID tags within the facility. RFID tags can advantageously be coupled to and associated with products within the facility so that readings of the tags can be used to monitor the status of the products. A control circuit can be coupled to the RFID readers to thereby analyze the readings and compile readings over time. With this, the control circuit can monitor the shopping facility to identify scenarios requiring follow up. Upon identification of one of the scenarios, the control circuit can instruct an automated ground vehicle (AGV) to inspect an identified product at a location within the facility. The AGV can operate a sensor thereof to determine a status of the identified product.

Abstract: An image processing system includes at least one information processing apparatus having a memory storing a program and a processor configured to execute the program. The processor executes the program to implement processes of detecting a human area including a person from image data, determining an action of the person and a direction of the action based on the human area detected from the image data, determining a fixed area of the image data that is associated with the human area based on the direction of the action, generating an evaluation for the fixed area based on the action, and displaying the generated evaluation together with the image data on a display device.

Abstract: The methods and systems described herein attempt to address the above-mentioned need by providing an algorithm and software capability to automatically detect and assess “natural experiments” that exist in any underlying dataset. In one embodiment, a computer-implemented method for identifying an experiment to use in an analysis of a business initiative comprises storing, by a computer, a set of historical data regarding entities in a business network; receiving, by the computer, a selection of inputs for the historical data; detecting, by the computer, a natural experiment based upon changes in the historical data; and outputting, by the computer, a report of a detected experiment from the historical data.

Abstract: Methods and systems herein involve a computing system receiving a listing-suggestion request associated with a first account, and responsive to the listing-suggestion request: (a) detecting, in point-of-view (POV) image data received from one or wearable devices, one or more occurrences of a first surface of a real-world object; (b) determining that the first surface of real-world object is associable with the first account; (c) determining that the first surface is not associated with the first account in a database for augmented-reality overlay rights and (d) responsive to determining that the first surface is associated with the first account: (i) using the POV image data as a basis for determining a numeric measure corresponding to overlay of augmented-reality content on the first surface of the real-world object; and (ii) sending a listing-suggestion message to a computing device corresponding to the first account, wherein the listing-suggestion message indicates the determined numeric measure.

Abstract: The present disclosure discloses a method and a device for loading a webpage. The method for loading a webpage includes: sending a webpage request message to a server; receiving an initial webpage of the webpage returned from the server, the initial webpage including an agent; sending a WebSocket connection request message to the server through the agent, to establish a WebSocket connection with the server; sending a page component request message of the webpage to the server based on the WebSocket connection, to load page component of the webpage; receiving the page components of the webpage returned from the server based on the WebSocket connection; and creating the page components at corresponding positions in the initial webpage.

Abstract: Disclosed are various embodiments for a placement bidding application. A collection of items is ranked according to relevance. A placement of an entry in the list is determined according to a bid to include the entry in a subset of the items presented to a user. The bid may be accepted according to a projected revenue generated for placement of the entry.

Abstract: Concepts and technologies are disclosed herein for creating and using service control functions. The service control functions can detect a message via an adapter function. The message can relate to a service controlled by the service control functions. Service policies can be accessed. The service policies can include message handling policies and can be accessed to determine if a policy relating to the message exists. If a determination is made that the policy exists, the message and the policy can be analyzed to determine an action to take with respect to the message, and the action can be initiated.

Abstract: Embodiments of the present invention are directed to a system and method for collecting and analyzing data from a plurality of contact center tenants. A processor collects from a plurality of source devices over a data communication network, real-time metrics data for a plurality of contact centers. The real-time metrics data relates to a plurality of contact center factors. The processor stores the collected real-time metrics data in the data store, and generates benchmark data based on the collected real-time metrics data. The processor determines, for a particular contact center of the plurality of contact centers, performance of the contact center relative to the benchmark data. The processor further outputs a recommendation based on the comparison.

Abstract: An online social network is provided. A sentiment is determined for each of a plurality of users of an online social network (OSN) in relation to a first product. A category is determined for each of the plurality of users based, at least in part, on the sentiment of each of the plurality of users, respectively. A group including a first user and a second user of the plurality of users is generated based, at least in part, on the category of each of the first user and the second user and a relationship within the OSN between the first user and the second user. An advertisement is presented to the first user. An indication is presented to the first user that the advertisement is also presented to the second user.

Abstract: Associating social comments with individual assets used in a campaign is described. In one or more embodiments, a campaign that includes one or more assets (e.g., images or videos of products) is published to one or more social networks. Comments (e.g., user comments, user shares, or other textual feedback) to the campaign on the one or more social networks are collected and analyzed to attribute each comment to an individual asset of the campaign. Social metadata, such as a social mention count and a social sentiment score, is generated based on the comments to enhance metadata of the individual asset.

Abstract: A method and a file networking system (FNS) transform a content file into a content-centric social network with managed connectivity and indexable touchpoints. The FNS injects a tracking code with widgets for user activities into each portable copy of the content file when user devices request access to the content file before distributing the portable copies to the user devices through a network. The FNS establishes a bidirectional communication with the distributed portable copies (DPCs) through the network to receive tracking information including user created touchpoints identified by the tracking code based on usage of the DPCs. The FNS indexes the touchpoints and creates a satellite internet of users of the DPCs based on invite information and usage of the DPCs. The FNS establishes communication between users of the DPCs in the satellite internet using the widgets through the tracking code and the indexed touchpoints, whereby grouping is automatically achieved.

Abstract: Methods, apparatus, systems and articles of manufacture to identify local trade areas are disclosed. An example method includes selecting, with a processor, census block groups (CBGs) associated with a retailer location, identifying, with the processor, a plurality of stores within the selected CBGs and associated all commodities volume (ACV) values for respective ones of the plurality of stores, calculating, with the processor, similarity index values associated with respective pairs of the plurality of stores, generating, with the processor, local trade areas (LTAs) of subgroups of the plurality of stores based on a comparison of the similarity index values to a similarity threshold value, and when a respective one of the LTAs includes a violation of a releasability criterion, preventing, with the processor, erroneous disclosure of market share information by re-distributing the stores within the respective one of the LTAs to a geographically adjacent LTA.

Abstract: Timestamped data can be read in parallel by multiple grid-computing devices. The timestamped data, which can be partitioned into groups based on time series criteria, can be deterministically distributed across the multiple grid-computing devices based on the time series criteria. Each grid-computing device can sort and accumulate the timestamped data into a time series for each group it receives and then process the resultant time series based on a previously distributed script, which can be compiled at each grid-computing device, to generate output data. The grid-computing devices can write their output data in parallel. As a result, vast amounts of timestamped data can be easily analyzed across an easily expandable number of grid-computing devices with reduced computational expense.

Abstract: Systems and methods for customer touchpoint pattern and sentiment analysis are disclosed. In embodiments, a computer-implemented method comprises: detecting, by a computer device, the presence of a mobile device of a participant within a venue during a first event; monitoring, by the computing device, the location of the mobile device of the participant within the venue during the first event; detecting, by the computing device, at least one interaction event between the participant and a venue associate; recording, by the computing device, first event data including interaction event data; detecting, by the computing device, the presence of the mobile device of the participant within the venue during a second event; determining, by the computing device, one or more customer service parameters based on the first event data; and generating, by the computing device, an alert based on the one or more customer service parameters.

Abstract: An online social network is provided. A sentiment is determined for each of a plurality of users of an online social network (OSN) in relation to a first product. A category is determined for each of the plurality of users based, at least in part, on the sentiment of each of the plurality of users, respectively. A group including a first user and a second user of the plurality of users is generated based, at least in part, on the category of each of the first user and the second user and a relationship within the OSN between the first user and the second user. An advertisement is presented to the first user. An indication is presented to the first user that the advertisement is also presented to the second user.

Abstract: Disclosed are systems and methods for full body measurements extraction using a mobile device camera. The method includes the steps of receiving one or more user parameters from a user device; receiving at least one image from the user device, the at least one image containing the human and a background; performing body segmentation on the at least one image to extract one or more body features associated with the human from the background using a segmentation deep-learning network; generating annotation lines on the extracted body features using an annotation deep-learning network; generating body feature measurements of the one or more annotated body features utilizing a machine-learning module based on the annotated body features and the one or more user parameters; and generating body size measurements by aggregating the body feature measurements for each extracted body feature. In one embodiment, the deep-learning algorithms are trained on manually-annotated human body size measurements.

Abstract: Web Bot detection methods and systems are provided that receive a request, in connection with a network session. The methods and systems determine whether the request is associated with potential Bot activity, and based thereon assign a Bot confidence designation. The Bot confidence designation indicates a likelihood that the request represents an agent-based request. The methods and systems analyze a session trait of the network session relative to predetermined session traits indicative of human-based requests, and assign a human confidence designation based on the analysis. The human confidence designation indicates a likelihood that the request represents a human-based request. The request is then classified to represent an agent-based request or human-based request based on the Bot and human confidence designations.

Abstract: According to various embodiments, a ratings matrix including matrix values is generated, each row of the ratings matrix identifying one of a plurality of users, each column of the ratings matrix identifying one of a plurality of items, and each of the matrix values corresponding to a known affinity rating describing a degree of affinity associated with one of the users and one of the items. The ratings matrix may include a missing entry representing an unknown affinity rating. According to various embodiments, a revised ratings matrix is generated by factoring the ratings matrix into a user matrix and an item matrix, the revised ratings matrix being the product of the user matrix and the item matrix and including at least one entry representing a predicted affinity rating in place of the missing entry.

Abstract: In accordance with disclosed embodiments, there are provided methods, systems, and apparatuses for aggregating social network feed information including, for example, means for receiving user activity data from one or more social networks; parsing the user activity data to render a plurality of targeting parameters culled from the user activity data; matching one or more of the plurality of targeting parameters with advertising conditions for a social media campaign, wherein the advertising conditions of the social media campaign are contextually relevant to the one or more targeting parameters matched; recommending the social media campaign via a user interface; receiving authorization to launch the social media campaign via input received at the user interface or automatically launching the social media campaign based on pre-defined parameters; and deploying the social media campaign to one or many social media networks. Other related embodiments are disclosed.

Abstract: Web marketing channel correlation information for multiple web access sessions is captured using a web sales-capable server. The web marketing channel correlation information includes, for each web access session, a session-originating web marketing channel identifier of a marketing channel that originated the web access session, and at least one cross-session correlation identifier usable to correlate sets of web access sessions and usable to correlate the sets of web access sessions with orders. In association with an order placed by a consumer using the web sales-capable server, an accumulated statistical sales contribution of each marketing channel that originated a correlated set of web access sessions that are correlated with the order is calculated based upon the captured marketing channel correlation information.

Abstract: A system and method for implementing a cloud-based data processing platform for identifying intelligence information and insights based on data from a plurality of data sources includes: receiving a plurality of data stream; normalizing each of a plurality of data points in the plurality of data streams; analyzing the normalized data points and associated meta data information; identifying relationships between at least two sets of the normalized data points; and identifying intelligence information and insights based on statistical attributes of the normalized data and identified relationships between them; converting the identified intelligence information and insights into one or more stories; and communicating the one or more stories to a user interface.

Abstract: With reference to FIG. 1, we provide a system for monitoring pedestrians, the system including: a data capture system including a data capture device; a computer system communicatively coupled to the data capture system and configured to receive data from the image capture system representative of a portion of a pedestrian, said portion including at least a foot or item of footwear of the pedestrian; wherein the computer system is operable to count pedestrian footfall and/or to determine a demographic property of the pedestrian based on the data representative of the foot or item of footwear of the pedestrian.

Abstract: The information providing server obtains at least one of the first posted information on the plan posted by the user, the piece(s) of second posted information on the other plan(s) posted by the user, and the piece(s) of third posted information on the plan posted by the other user(s). Then, the information providing server identifies the subordinate rating criterion/criteria used for the user to rate the plan based on the obtained piece(s) of posted information, and presents the identified subordinate rating criterion/criteria to the user who rates the plan.

Abstract: Web marketing channel correlation information for multiple web access sessions is captured using a web sales-capable server. The web marketing channel correlation information includes, for each web access session, a session-originating web marketing channel identifier of a marketing channel that originated the web access session, and at least one cross-session correlation identifier usable to correlate sets of web access sessions and usable to correlate the sets of web access sessions with orders. In association with an order placed by a consumer using the web sales-capable server, an accumulated statistical sales contribution of each marketing channel that originated a correlated set of web access sessions that are correlated with the order is calculated based upon the captured marketing channel correlation information.

Abstract: A device may receive, from a camera device, an image that includes a person. The device may provide the image to a user recognition device and receive, from the user recognition device, a user identifier based on the person included in the image. In addition, the device may obtain user data based on the user identifier, the user data relating to prior activity relating to the person associated with the user identifier. The device may identify a user device based on a first physical location associated with the camera device and a second physical location associated with the user device, and provide the user data to the user device.

Abstract: To enable a notification instructing a goods management work to be made at an appropriate and effective timing, a goods monitoring device for monitoring a display state of goods based on captured images of a display area in a store includes: a goods detection unit that detects goods in the display area based on captured images of the display area; a goods state detection unit that detects a goods display state in the display area; a person detection unit that detects persons staying in the store; a person state detection unit that detects a person staying state in the store; a notification determination unit that determines propriety of a notification instructing a store staff member to perform a goods management work; and a notification unit that makes the notification based on a result of determination by the notification determination unit.

Abstract: Managing a call log of a communication device can include generation of a display list with list entries that are derived from the log entries of the call log, and provision of the display list for a user of the communication device. The order of the list entries in the display list can be determined by an evaluation of at least one criterion (e.g. current device parameters, current connection parameters, upcoming or current calendar events, a previous frequency of contact with the communication partner to whom the log entry is assigned, previous acceptances/rejections when contacted by the communication partner to whom the log entry is assigned, weather data, for example, temperature and/or precipitation at the time the display list was generated.

Abstract: Aspects of the subject technology relate to systems and methods for action-based content scoring. Scores associated with a content item are determined. Each of the scores is generated by a different predictive model and associated with a respective user interaction type. A composite score for the content item is determined based on at least one of the scores. The content item is provided for display in a content stream associated with a user based on the composite score.