Abstract: Methods, systems, and media for presenting recommended content based on social cues are provided. In accordance with some embodiments, a method for presenting recommended content is provided comprising: receiving a query associated with a user; generating a list of relevant media content items based on the query; selecting items for presentation to the user based on social relevance scores based on social connections of the user that have consumed a relevant item and contextual relevance scores for each item; causing the selected items to be presented to the user; and indicating that a particular item was consumed by a particular social connection.

Abstract: Various embodiments of systems and methods for mobile crowd sensing applications are disclosed herein.

Abstract: Computer-based systems, methods, and articles of manufacture are disclosed. In a social network embodiment, information regarding a first user is obtained and formed into a first dataset. Conceptual spaces are selected for the first user, and the first user's location is determined in the spaces. Distances between the first user and other users and their datasets are computed in the selected conceptual spaces. Actions are taken based on the distances, such as including or excluding the other users from a friends list of the first user.

Abstract: Various embodiments of the present technology generally relate to data delivery. More specifically, some embodiments of the present technology relate to systems and methods for using spatial and temporal analysis to associate data sources with mobile devices. The delivery of data to support a wide variety of services for and about mobile devices that are based on data stored in corporate, commercial, and government databases which is not currently linked to individual mobile devices. Some embodiments allow advertisers to better target their ads to relevant target audiences with greater accuracy.

Abstract: A method of managing a display of applications on a computing device can include identifying a plurality of contexts in which the computing device is used, each context being associated with (i) one or more signals and (ii) a plurality of applications. The method can also include detecting at least a subset of the signals during usage of the computing device and determining, based on the detected signals, that the computing devices is being used within a first context. The method can further include ranking, based on usage of the computing device, the applications associated with the first context. The method can still further include displaying, based on the ranking, representations of a first subset of the applications associated with the first context on a display of the computing device.

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: In general, the subject matter described in the specification can be embodied in methods, systems and program products for a verified participant database system that verifies information on potential participants for surveys and promotions that require numerous participants with certain characteristics. Among other features, the verified participant database system aggregates and preferably verifies information, for example, the demographic and purchasing information, of potential participants by receiving permission to obtain information from third-party sources.

Abstract: A method of monitoring user interactions with a networked device includes receiving image data associated with one or more images of a user, computing a plurality of visual features of the one or more images from the image data, and calculating, by a processing device, a style characteristic from the plurality of visual features. The method include calculating, by the processing device, a lifestyle characteristic based on the style characteristic and calculating, by the processing device, a user preference based on the lifestyle characteristic. The method includes determining a recommendation of a product based on the user preference and providing the recommendation to a user device associated with the user.

Abstract: Disclosed are techniques for achieving high-volumes of low-latency price plus discount transactions that are dynamically created through transaction optimization. Aspects may include combining and optimizing different types of discounts into a single discount and dynamically controlling the single discount through a single user-facing transaction. A computer model may determine one or more transactions and sets of discounts applicable to those transactions upon which the user-facing transaction and single discount are based. Associations between discounts and items may be determined for at least some different types of discounts to apply a set of discounts including at least two different discounts of different discount types to a desired transaction for one or more items. Aspects may include determining a discount transaction comprising a plurality of constituent transactions that form a single user-facing transaction.

Abstract: Implementations of the present disclosure provide techniques to optimize dynamic third party review generation for transmitting redirection request links. In one implementation, a system is provide that comprises a memory to store profile data for one or more merchants; and a processing device, operatively coupled to the memory, to receive an indication to generate an online review for a client device associated with a location of a merchant. Responsive to receiving the indication, one or more weighted event factors associated with the merchant are determined. One or more distribution parameters specified by a merchant system are selected based on the weighted event factors for the merchant. An online third party review site is identified based on the distribution parameters. Thereupon, the online third party site is caused to transmit a reviewing object to the client device for posting the online review of the location of the merchant.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for matching a user profile on an online platform to a user record of a network-based content publisher. A user profile from which an entry published to an online platform originated is identified. The entry includes a reference to content hosted by a network-based content publisher. The user profile is matched with a user record maintained by the network-based content publisher based on information embedded in the reference to the content that is included in the entry published to the online platform. Data from the user profile is utilized to provide personalization services to a user associated with the user record.

Abstract: A system and method displays lists of users or messages in segments, with some segments showing messages or users believed to be more relevant to the user than others on the list.

Abstract: Systems and methods are disclosed for identifying malicious traffic associated with a website.

Abstract: Systems and methods of the present invention provide for servers generating a suggested domain name from a requested domain name via a modification using a variation algorithm using a first variation technique in a plurality of variation techniques. The server(s) render a user feedback interface including the suggested domain name and a first and second user interface control encoding a positive and negative response to the variation technique respectively. After decoding a response, the server(s) generate a user interface allowing the user to review which of the suggested domain names have been liked or added to a favorites list by other users.

Abstract: This disclosure covers systems and methods that verify a user's identity and generate automated messages within a messaging thread to prompt the user to digitally sign a digital document. Before generating such automated messages, the disclosed methods and systems optionally cause a client device to transition from presenting a newsfeed comprising a third party's digital content item to (alternatively or additionally) presenting a messaging thread. For instance, in some embodiments, the methods and systems provide a messaging thread for a user and the third party upon receiving a selection by the user of an option within the newsfeed associated with the digital content item. Within the messaging thread, the methods and systems then generate automated messages that prompt the user to digitally sign the digital document, such as a digital petition or contract.

Abstract: Methods, systems, and computer readable medium for optimizing physical products. The method includes detecting a set of physical attributes for each physical item among multiple different physical items, obtaining a velocity factor for each of the physical items, generating a mapping of a velocity contribution to various combinations of physical attributes among the set of physical attributes based on the velocity factor for each physical item and the set of physical attributes of that physical item, determining, based on the mapping, that the velocity factor of a particular physical item will increase in response to a change to one or more physical attributes of the particular physical item, and transmitting, to a source of the particular item, an electronic message that conveys the increase to the velocity factor of the particular physical item that will result from a selection of the one or more physical attributes of the particular item.

Abstract: A method includes receiving, at a processor, first source data structured according to a first schema. The method further includes receiving, at the processor, second source data structured according to a second schema different from the first schema. The method further includes outputting, by the processor, event stream data for storage at a storage device, the event stream data representing a first event extracted from the first source data and a second event extracted from the second source. The event stream data includes a plurality of events corresponding to changes associated with a subject instance. The method also includes generating a profile of the subject instance based on the event stream data. The profile indicates a chronology of the changes associated with the subject instance.

Abstract: The virtual location of a player in a location-based game is determined from the real-world location of the player's client device. The location-based game provides the player access to one or more chat room based on their location. To determine the locations of chat room, a server analyzes player locations in a geographic region, clusters player locations to identify centroids, and adjusts the clusters based on constraints. The server selects chat room locations (e.g., at points of interest) to more evenly balance the number of players in each chat room while complying with one or more restraints on the size of the geographic area served by each chat room.

Abstract: This document presents devices, systems, and their methods of use for content generation, engagement, and distribution by which a user can interact with collected content in a variety of different manners. Generally, a content engagement platform is provided, where the platform may be implemented on one or more computing devices, such as one or more of: a remote server, a desktop computer, a tablet computer, a handheld mobile computing device, for instance, a mobile phone or personal digital assistant, a smart accessory, such as a watch or eyeglasses, and the like. The platform allows a user to annotate and distribute video content.

Abstract: The invention introduces a technique to enable users in a social networking system to enhance their representation and optimize their operation based on their data. The social networking system as proposed herein consists of informational views as logical units to simulate encapsulation of their user data to optimize such views' operation, thus utilization of such data, where i) such view relationships express either explicit user intentions or implicit state of key user data specified as such view connection preferences, and ii) such view permissions enable privacy controls for each such view, and iii) such view functions and services offer such view interactive capabilities while such view attachments capture such view generated data for automated data analyses with consequential such view data, function or service adjustments.

Abstract: Some embodiments provide a graphical user interface (GUI) that includes a map with selectable indications pertaining to a location within the map. In response to detecting selection of the selectable indication, a place card providing particular information pertaining to the location is rendered in the GUI.

Abstract: Disclosed are methods, apparatus, systems, and computer-readable storage media for providing access to communities of users in an online social network. In some implementations, a server is configured to identify a user identity (ID), received from a computing device, as one of a plurality of first user identities (IDs) of first users belonging to a first community maintained on behalf of a first organization by a social networking system. The computing device can then be provided access to the first community. When a request to access a second community maintained on behalf of a second organization is received from the computing device, the user ID can be identified as one of a plurality of second user IDs of second users belonging to the second community. The computing device can then be provided access to the second community.

Abstract: Disclosed embodiments provide a prosumer crypto social media and cross bridge service collaboration platform in a secure and trusted network based on crypto technology, which helps to manage information workflow, and improves collaboration between amateurs, knowledge workers and service providers. Digital transactions are enabled in a collaborative environment. Virtual information points are rendered in a mixed reality view. When selected, notifications based on the selected virtual information points are displayed. Search results are rendered graphically, and selection of related results can be achieved via user interaction with graphical elements. Emojis and D-emojis/D-emoticons are used to interact with network participants, enabling a new level of collaboration and feedback amongst the participants.

Abstract: A method of pairing and gradually disclosing secret identities of at least two individuals looking to exchange messages on a defined topic, such as a meeting place providing individuals an opportunity of assessing each other suitability as a prospective partner in an intimate relationship. Individuals must select each other in addition to a number of selected contacts from a list of contacts that is presented to them. An application system or a third party individual must aggregate their choices, pair the individuals that have mutually selected each other and, display an intermediate pairing event to each individual paired with a contact, wherein the pairing event consists of the contact paired with the individual positioned among at least one contact of the number of selected contacts. The intermediate pairing event is providing a first disclosure stage in which each individual obtains a clue on the real identity of a prospective partner.

Abstract: Method and device are described for customizing the content selection to present on a display device based on identifying the viewer of the device. In one embodiment, the present disclosure relates to selecting from among a group of digital images, those images that are most likely to be of interest to the viewer. In general, many of the images available to the display device will be comprised of images containing subject faces. Using the relationship information to predict subject affinity, the display device computes an image affinity for each image by accumulating the individual subject affinity predictions between the viewer and each subject identified in each image. The image affinities are used to select images for presentation on the display device.

Abstract: Systems and methods for image generation for social media contact engagement are provided. In example embodiments, a publication that represents an item available for purchase is identified. Item data, including an item image, for the publication is access. A plurality of images are generated for the publication using the item data. A cycling assembly of images comprising a portion of the plurality of images is assembled. The cycling assembly of images is assigned to an entity profile, corresponding to an entity associated with the publication, of a social networking service. The assignment of the cycling assembly of images causes the cycling assembly of images to be displayed to members of the social networking service in place of a member profile image.

Abstract: An example method involves (i) accessing a playlist defining a sequence of media content items including a first media content item and a second media content item; (ii) retrieving, from one or more server devices, first data representing the media content items of the received playlist, and using the retrieved first data to play out, via a client device, the media content items in accordance with the sequence defined by the playlist; (iii) accessing second data representing user activity related to the client device, and using the accessed second data as a basis to select a media content item from a plurality of media content items; and (iv) retrieving third data representing the selected media content item, and using the retrieved third data to play out, via the client device, the selected media content item in between playing out the first and second media content items.

Abstract: The present disclosure discloses a user event responding method performed by a computer server hosting a social networking application involving a user account associated with a terminal and a public identifier associated with a third-party service account, including: receiving a subscription request from the terminal; establishing a subscription relationship between the user account and the third-party service account; configuring a set of auto-response rules for the subscription relationship in accordance with one or more parameters provided by the user account and the third-party service account, respectively; detecting a user event triggered by the user account at the terminal; identifying one or more keywords associated with the user event; obtaining, according to the set of auto-response rules, a response message corresponding to the detected user event and determined by the one or more keywords; and returning the obtained response message to the user account for display on the terminal.

Abstract: Big data analysis methods and machine learning based models are used to provide offer recommendations to consumers that are probabilistically determined to be relevant to a given consumer. Machine learning based matching of user attributes and offer attributes is first performed to identify potentially relevant offers for a given consumer. A de-duplication process is then used to identify and eliminate any offers represented in the offer data that the consumer has already seen, has historically shown no interest in, has already accepted, that are directed to product or service types the user/consumer already owns, for which the user does not qualify, or that are otherwise deemed to be irrelevant to the consumer.

Abstract: Systems and methods are provided to implement intelligent recommendations to users by modeling user profiles through deep learning of multimodal user data. For example, a recommendation computing platform collects multimodal user data from a computing device of a registered user, wherein the multimodal user data include time-series data, unstructured textual data, and multimedia data. A first deep learning classification engine is utilized to extract features from the multimodal user data. A second deep learning classification engine is utilized to generate a profile of the registered user based on the extracted features. A deep recommendation classification engine is utilized to determine a recommendation for the registered user based on the profile of the registered user, wherein the recommendation identifies at least one additional registered user. The recommendation is presented to the registered user on the computing device of the registered user.

Abstract: A computer-implemented method for collecting tax data for an electronic tax return preparation program includes a tax logic agent reading a user data profile indexed to a user ID for a user to identify an identifier of a missing datum. The method also includes a match system identifying a data source corresponding to the identifier of the missing datum. The method further includes the match system generating a partition for the user data profile. Moreover, the method includes a dispatch system generating a target queue for the data source using the partition. The target queue includes the identifier of the missing datum. In addition, the method includes a data collector querying the data source based on the target queue to collect data corresponding to the identifier of the missing datum. The method also includes an importer generating a modified user data profile using the collected data.

Abstract: A method and communication system are disclosed for conducting a conference among conference participants connected by a communication system. This system has at least one conference server and at least one image reproduction unit at each conference environment. The method involves collecting context data concerning at least one of the conference participants at multiple timed intervals; calculating a relationship value from the context data at the timed intervals; determining a relationship status, wherein the relationship status is expressed using one of several categories defined by a threshold value, depending on the calculated relationship value; and displaying the relationship status on at least one image reproduction unit during the conference. The method may be performed at the beginning of the conference and/or when a new participant joins the conference.

Abstract: Document tags are rapidly indexed using a text based index and a graph index. A tag signal is received. A tag and a type of the tag that are located in the tag signal are stored in a data store. The tag is indexed as a tag document in the text based index. One or more relationships between the tag and a content document are managed in the graph index.

Abstract: A computer-implemented method, system, and computer program product for dynamic access control to a node in a knowledge graph includes: structuring nodes of a knowledge graph into a plurality of hierarchically organized graph layers; assigning, to one or more users, an access right to a first node of the knowledge graph, the access right to the node selected from a plurality of access rights, where different types of users have different access rights; and assigning, to at least one user from the one or more users, an additional access right to a second node of the knowledge graph.

Abstract: Various methods, apparatuses, and media for facilitating data generation based on a set of metadata are provided. The methodology includes operations of receiving a first input that relates to data attributes and corresponding data attribute descriptions; receiving a second input that relates to applicable data quality rules; using the received inputs to generate a set of metadata; and using the generated set of metadata to generate new data that is compatible with the data quality rules. The data quality rules may be used to determine certification metrics that are used to analyze the newly generated data, in order to ensure a result that has a high level of data quality.

Abstract: A data controller (DC) computing system for providing event-planning tools, the DC computing system including at least one data controller (DC) computing device is provided. The DC system is configured to electronically receive basic data from a first data source. The DC system is also configured to store the basic data within a database, generate output data based on the basic data, and transmit the output data to a second data source. The DC system is further configured to electronically receive input data from the second data source, wherein the input data is based on a selection of a first user from the output data, generate event data based on the output data, and transmit a report to a second user, wherein the report includes the event data.

Abstract: A sentiment analysis computing system includes a storage medium and a processing system. Sentiment input is received from audience members viewing a streamed/webcasted event. The received input is stored to the storage medium. A time slice of the webcasted event is determined and sentiment inputs that are within that time slice are obtained. A sentiment value is calculated for the determined time slice based on aggregated sentiment values. The calculated sentiment value for the time slice is then output by the sentiment analysis computing system.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for publisher and share action integration in a user interface (UI) for automated messaging. In some implementations, information is displayed in a first component and in a second component in a UI on a display. The first component is a publisher configured for composing and sharing messages on different communication channels using different share actions. The second component includes links to data items. When one of the data items is selected, a set of share actions for sharing the selected item using the publisher can be identified and displayed. When one of the displayed share actions is selected, it can be determined that the selected share action is applicable to one of the communication channels. A reference to the selected item can be provided in a message being composed in the publisher for sharing on the one communication channel.

Abstract: A method and a system for predicting business outcomes by analyzing image interests of users are provided. The method includes generation of predictor models based on sample data of tests users. The sample data includes historical data of the test users, images that are of interest to the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict psychometric features and business outcomes for a target user based on target data of the target user. The target data includes images that are of interest to the target user, historical data of the target user, and answers provided by the target user to the psychometric questions.

Abstract: In one embodiment, a method of sharing locations of users participating in a social networking service at a geographic location and communicating app related information of users participating in the social networking service, the method executed by a computer system and comprises: receiving location information and text descriptive information from a mobile device of a first user of the social networking service, the location information representing a geographic location of the first user, the text descriptive information manually provided by the first user on an input module of the mobile device; associating the location information with the text descriptive information of the first user in a database; sending the text descriptive information and the location information of the first user to a second user for display.

Abstract: Systems and methods of selecting a relevant user for introduction to a user in an online environment are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of receiving a request to identify the relevant user to be introduced to the participating user in the social network, identifying a set of social history records that occurred among the multiple users in the social network, selecting, from the multiple users, the relevant user to be introduced to the participating user using the set of social history records. The relevant user that is selected is not a social connection of the participating user in the social network. One embodiment includes, determining whether the participating user is interested in meeting the relevant user in the social network based on an indication made by the participating user via interaction with the user device.

Abstract: Systems and methods are disclosed for tracking consumer spend behavior to predict attrition. One method includes: receiving past transaction data related to a plurality of past payment transactions of a consumer; receiving environmental and/or behavioral data associated with each of the past payment transactions of the consumer; determining a spend behavior model of the consumer; subsequent to determining the spend behavior model of the consumer, receiving transaction data related to one or more current payment transactions of the consumer; receiving environmental and/or behavioral data associated with the one or more current payment transactions; determining, based on an analysis of the current transaction data and environmental and/or behavioral data associated with each of the current payment transactions, a current spend behavior of the consumer; and determining, based on a comparison of the current spend behavior with the spend behavior model, the likelihood of an attrition of the current spend behavior.

Abstract: Method, system, and programs for online advertising are disclosed. One or more targets associated with an entity are identified based on a first piece of information related to each target and a second piece of information related to the entity. The one or more targets are considered as likely being interested in content that can be made available by the entity. A connection is established between the entity and each identified target through a bi-directional communication channel. Activities between the entity and each target through the bi-directional communication channel are monitored. The entity delivers the content to an identified target through the bi-directional communication channel established between the entity and the identified target. In response to the delivered content, the identified target is able to provide a feedback to the entity through the bi-directional communication channel.

Abstract: A method of matching cross-platform data, comprising: receiving a data matching request sent by a terminal; obtaining a group behavior data corresponding to the first user group in the first social network platform, and learning the group behavior data to obtain a group feature distribution function; obtaining associated users of the designated root node users and corresponding behavior data in the second social network platform; learning the behavior data of the root node users, and generating the group feature distribution function after matching the root node users; performing the behavior learning to the behavior data of the associated users; calculating a maximum entropy value of the group feature distribution function after matching the associated users, and determining the associated users corresponding to the largest maximum entropy value as the matching users of the first user group; and regarding the determined matching users as current root node users, determining a next matching user until the det

Abstract: Embodiments are directed to a computer implemented method of analyzing media files to improve the presentation of media files to users. The method includes using a processor to analyze a set of media files. The media files are represented by a set of vectors according to characteristics of each media file. A set of preferences is gathered for a user. A configuration from the user is then obtained. The media file vectors are adjusted based on the preferences and configuration. The media files are selected for presentation to the user based on the user's preferences and configuration.

Abstract: Systems and methods are disclosed for predicting consumer spending behavior based on historical purchase activity progressions.

Abstract: Described is a system for determining how opinions spread through a network. Opinion dynamics are applied to a network, each node having a corresponding opinion. Each node is described by an active state or an inactive state such that inactive nodes can update their opinions, and active nodes are fixed in their opinion at the time of activation. Inactive nodes can be influenced by both active nodes and inactive nodes. The opinion dynamics proceed in discrete time steps with an influence step for updating each inactive node's opinion, and a stochastic action step for determining whether an inactive node becomes activated. The system identifies how opinions spread through the network using the applied opinion dynamics, resulting in a set of opinion dynamics data. The opinion dynamics data is used to control information that a device or account is allowed to post to social media platform.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for recommending a shared connection are presented. A set of shared connections between a first application user and a second application user may be identified. A determination may be made that a communication value between the first and second application users is below a recommendation surfacing threshold. A communication value between each application user of the set of shared connections and the first user may be calculated. A communication value between each application user of the set of shared connections and the second user may be calculated. One or both of the calculated communication values may be utilized to rank the shared connections based on importance to the first user, importance to the second user, and/or importance to the first user and the second user. One or more top ranked candidate user profiles may be promoted on a graphical user interface.

Abstract: A personalized scheduling and networking method, system, and non-transitory computer readable medium include creating a user persona profile based on user information, extracting scheduling and networking information based on event information, matching a user with events during a conference based on the extracted scheduling and networking information and the user persona profile, and creating a schedule and a route for maximizing a number of the events and networking opportunities based on matches of the matching.

Abstract: A content management system streams variable length segments of content items to client devices. The content management system stores a content item and makes the item available for access by one or more client devices. When a client device requests the content item from the content management system, the content management system sends the content item to the device by streaming the content item in segments. Specifically, the content management system partitions the content item into a sequence of variable length segments. An initial portion of the sequence includes rapid start segments that are configured as being the smallest segments in length from the sequence. A subsequent portion of the sequence includes the remaining segments having longer length(s). The content management system streams the segments to the client device in sequential order and in a streaming format.