Abstract: Systems and methods for controlling contacts with a client's users make use of segment-based contact limits. A contact limit sets a maximum number of contacts that a client can have with a user within a predetermined time window. A segment-based contact limit only applies the contact limit to a subset of all the client's users. The type of contact being limited could include messages that are sent to the user or advertising or sales campaigns that are conducted for the user. A segment is a subset of all of the client's users, and a segment may be defined based on one or more filters.

Abstract: Methods, apparatus, computer applications, and systems are provided for enabling identification of content to be compiled into a shopping application at a user device. In one embodiment, a general layout for a number of content modules to be displayed and identifying information for content to be inserted are provided from a network server to a user device, the user device then calls the appropriate content and utilizes the layout to generate a page for display to the user natively. One specific variant, activity and profile data collected at the user device via a separate application may be stored at the network and used to select content by the server.

Abstract: Various embodiments described herein assist in identifying one or more product items of interest (e.g., high demand product items) based on surge activity, such as user buying surges, user selling surges, and user product listing (e.g., electronic or online listing) surges on an online marketplace system, and can further notify one or more users of selling opportunities of the identified products items of interest.

Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, from a client system associated with a user, a request for a summary of user communications from a content source, accessing a plurality of user communications from the content source, identifying a plurality of segments associated with the plurality of user communications, wherein the plurality of segments is associated with a plurality of topics, respectively, calculating, for each segment of the plurality of segments, a user interest score for the segment, selecting one or more of the segments for summarization based on their user interest scores, generating one or more personalized summaries of the one or more selected segments, wherein the personalization of the summary is based on the user profile of the user and sending, to the client system, instructions to present the personalized summaries to the user responsive to the request.

Abstract: According to one embodiment, a communication device includes one or more processors. The processors decide on a first-type parameter representing a conversion operation for converting input data into first-type conversion data. The processors calculate first-type predicted distributions based on second-type parameters, each representing one of the plurality of clusters. The processors update the first-type parameter and the second-type parameters so as to achieve optimization of first-type differences representing differences between the first-type predicted distributions and a target distribution, and second-type differences representing differences between the first-type predicted distributions and second-type predicted distributions that indicate probability at which second-type converted data. The second-type converted data is obtained by converting data, which is formed by augmentation of the input data, using the first-type parameter belongs to the clusters.

Abstract: A telecommunications service provider network gateway computer system. The gateway computer comprises a processor, a non-transitory memory, and a probe application stored in the non-transitory memory. When executed by the processor, the probe application monitors data packets received from a radio access network (RAN), identifies data packets addressed to a server computer hosting a mobile application downloading site, for the data packets addressed to the downloading site, collect information associated with telecommunications service subscribers downloading applications from the downloading site based on a telecommunications service subscriber identity associated with each of the data packets provided to the gateway server computer by the RAN, generates a report based on the information collected that anonymizes the subscribers' identities, and transmits the report to an operator of the downloading site.

Abstract: A system, method, and computer-readable medium are disclosed for performing a recommendation operation, comprising: optimizing a product list to provide an optimized product list for use when generating a recommendation for an account; optimizing a neighbor set to provide an optimized neighbor set for use when generating the recommendation for the account; boosting a self-cosine similarity metric to provide a boosted self-cosine similarity metric, the self-cosine similarity metric corresponding to the account; and, providing a recommendation for the account, the recommendation being based on the optimized product list, the optimized neighbor set and the boosted self-cosine similarity metric.

Abstract: A system collects information from different sources regarding online activities of users and information regarding presentation of additional content. The user online activity information can include an indication of a web page visited (e.g., URL), a time when the web page was visited, and an anonymized identifier for a user device. Additional content service information can include an additional content identifier, a time the additional content was served, and an anonymized identifier for a user device to which the additional content was served. An optimizing engine uses this information to correlate additional content presentation to user online activity while preserving privacy of users. The system can use the correlation information to perform various statistical analyses, including determining the effects of presentation of particular additional content on user online activity, while preserving the privacy of individual users and preventing the information from being linked to a particular user.

Abstract: A method includes determining a set of k extreme values of a dataset of elements in a constant time irrespective of the size of the dataset. A method creates a set of k indicators, each indicator associated with one multi-bit binary number in a large dataset of multi-bit binary numbers. The method includes arranging the multi-bit binary numbers such that each bit n of each said multi-bit binary number is located in a different row n of an associative memory array, starting from a row storing a most significant bit (MSB), adding an indicator to the set for each multi-bit binary number having a bit with an extreme value in the row and continuing the adding until said set contains k indicators.

Abstract: An online system receives a request from a third-party application for a content item to be delivered to a user of a user device, the request including a device identifier corresponding to the user device used to access the third-party application. In order to deliver a targeted content item, the online system accesses inference model to infer an identity of the user, based upon device usage parameters based upon the received request, historical data associated with the device identifier, or an indication of activity associated with the device identifier on the online system or one or more first-party applications.

Abstract: An apparatus for generating merchant clusters based upon monitored consumer transaction activity can include a processor configured to communicate with a consumer transaction database. The processor can be configured to obtain transaction activity of consumers. The processor can be configured to generate a reference cluster based on the obtained transaction activity. The processor can be configured to generate at least one regional merchant cluster for each of a plurality of different geographic regions based on the obtained transaction activity. The processor can be configured to generate a cluster labeling scheme, for each of the different geographic regions, based on comparing each regional merchant cluster for that corresponding geographic region against the reference cluster.

Abstract: Various embodiments of systems and methods allow the presentation of a content item with a marketplace section. A system can receive a content item and analyze the content item to identify at least one featured object in the content item. The system can then match the at least one featured object with a marketplace item. If the marketplace item passes various filtering criteria, then the author of the content item can approve the marketplace item being presented with the content item. A system can then receive data for the content item from an application server and data for the marketplace item from a marketplace server and generate a unified presentation of the content item and the marketplace item. A user can then interact with a marketplace section to buy the marketplace item.

Abstract: Techniques are described in which a service operates to identify consumers corresponding to visitor interactions with resources available from a service provider. Features are selected to use for matching of clickstream data collected for unknown visitors to profiles established for known visitor IDs. The features are selected based on analysis that accounts for consistency, completeness, and uniqueness of features among a corpus of profiles. Then, relevance scores are computed over the selected features using an information retrieval model in which clickstreams are treated as queries and profiles are treated as documents. Unknown visitors are matched to corresponding profiles using the relevance scores. Access to the digital media content is then controlled in accordance with the matching based on relevance scores, such as by serving individualized marketing offers and content to consumers that is targeted to characteristics of the consumers indicated by respective profiles.

Abstract: A computer-implemented method for annotating online content with offline interaction data and offline interaction conversion data is implemented by a content annotating computing device in communication with a memory. The method includes receiving a set of content interaction data based on an online interaction between an online user and a first online content item, identifying at least one physical location associated with the online content provider, determining a set of offline interaction conversion data based on the set of content interaction data and a set of offline interaction data, receiving a second online content item associated with the online content provider, and annotating the second online content item based at least partially on the set of offline interaction conversion data and the set of offline interaction data.

Abstract: Embodiments disclosed herein generally related to a method and system for customizing a customer experience. In one embodiment, a method is provided herein. A computing system receives from a computing device positioned in a facility one or more video streams. The one or more video streams capture a customer in the facility. The computing system identifying an identity of the customer by parsing the one or more video streams to identify one or more audio or visual cues of the customer. The computing system determines, based on the identity of the customer, that the customer has one or more previous transactions at the facility. The computing system predicts, based on the one or more previous transactions, a new transaction at the facility. The computing system notifies the computing device positioned in the facility in preparation of the new transaction.

Abstract: Systems and methods for audio advertising user interaction are disclosed. A voice interactive device causes an advertising audio file to be played for a user. The user can express interest in the advertising content of the advertising audio file by speaking one of a plurality of predetermined intents. Based on expressed user response, one or more results can be provided to the user and/or to a user device. The results relate to advertising content of the advertising audio file.

Abstract: A system and method for stand-in processing are provided. The system includes a processor and a memory unit communicatively coupled to the processor. The memory unit is configured to store transaction data received from an acquirer corresponding to a transaction made by a payment card. The processor is configured to determine data representing a point of sale (POS) entry mode of the transaction from the transaction data and, using one or more stand-in rules provided by an issuer of the payment card, process the transaction on behalf of the issuer based on the data representing the POS entry mode. Processing includes approving or declining the transaction.

Abstract: A management server receives, from a terminal device, authentication information of a target user and first relationship information related to a target printer. In response to transmission of the authentication information to a purchase server, the management server receives, from the purchase server, M number of pieces of color-material identification information identifying M number of types of color material that have been previously purchased by the target user. The management server extracts, from among the M number of pieces of color-material identification information, N number of pieces of color-material identification information, identifying N number of types of color material, by using the first relationship information. The management server transmits, to the terminal device, second relationship information for controlling the terminal device to display a screen used for purchasing at least one type of color material from among the N number of types of color material.

Abstract: Obtaining information may be increasingly more challenging in modern times. The systems described herein enable a user to have access to one or more data streams. For example, the data stream may include messages from a famous person provided to an online social networking service, where the messages may be limited character messages. Yet, in some instances, the data stream may also include images posted on a blog, videos posted on a social networking service for connecting people, a list of searches and/or search strings by a famous person, and a number of purchase orders by an actress. The systems may also control the user's access to the one or more data streams, possibly limiting the access to portions of the one or more data streams.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for presenting content items. In one aspect, a method includes obtaining, for each of one or more first applications, a user's level of interest in obtaining content based on a number of user requests for content from the application that result in less than a given amount of content being presented to the user. Based on one or more obtained levels of interest, a content item for a second application that has available content is selected. The second application can be different from the first application. The content item is displayed on a display of a user device.

Abstract: Commerce is suggested based on sensory outputs associated with a mobile device. The sensory outputs may represent any parameter, such as physical location or visual gaze. A product in a merchant's inventor may then be recommended, based on the sensory outputs.

Abstract: An application operating at a mobile computing device may request a set of recommended application tasks for recommendation. The request may identify a user associated with the application, and the user may be associated with a user group based on user profile attributes associated with the user. Application tasks available for selection at the application to may be selected for a set of recommended application tasks based on selection trend data associated with the user group. The set of recommended application tasks may be provided to the application, and the application may configure an application task list that includes the application tasks in the set of recommended application tasks.

Abstract: A method for contextual authentication based on computing devices includes: storing an account profile related to a transaction account including an account identifier and a timestamp and a device geolocation for at least two computing devices; receiving an authorization request for a payment transaction including the account identifier, a transaction geographic location, and a transaction time; identifying an authentication score for the payment transaction based on a comparison of the transaction time and transaction geographic location to the timestamp and device geographic location for each of the at least two computing devices; and transmitting the identified authentication score and received authorization request to a financial institution associated with the transaction account.

Abstract: Inventory data is stored, wherein the inventory data represents for each of a plurality of broadcast stations a corresponding inventory of audio advertising spots available from that broadcast station to be filled by an advertising placement system. An advertising campaign data representing a set of advertising objectives of an advertising campaign is received. The inventory data is used to iteratively select advertising spots to be associated with the advertising campaign, based at least in part on a respective computed fitness of match between each selected advertising spot and said advertising objectives.

Abstract: Embodiments relate to user attitude modeling and behavior prediction for a social media network. One aspect includes collecting data relating to previously demonstrated sentiments, opinions, and actions attributed to network users toward a topic. Another aspect includes creating a model from the data, which includes factorizing the actions for behavior inference, factorizing auxiliary content from the network for opinion and sentiment inferences, and applying sentiment and opinion regularization to constrain user preferences on implicit topics to explicit sentiments and explicit opinions. Another aspect includes applying the model to a new user of the network with respect to the topic, and generating a prediction with respect to the user that includes predicting sentiment and opinion as a function of the auxiliary content and feature coefficients learned during a training process, and predicting a future action of the user as a function of the auxiliary content and latent profiles of the topic.

Abstract: Provided is a product information generation system and the like capable of performing comprehensive determination using information on access to a plurality of pieces of media data from media data representing a product and generating product information.

Abstract: Various embodiments of systems and methods allow a distributed database to be maintained to store records of activities that may promote purchasing a product and determine whether such promotions should be rewarded. Using anonymous identifiers and a permission-based system, identities of users, products, content, content distribution systems, and marketplaces can be made available only to parties with rights to know such identities. Furthermore, systems can be put in place so that activities with a certain product, content item, etc. can be monitored without ever disclosing the identity of the product, content item, etc. In some embodiments, the database can be an immutable, append-only, distributed database such as a blockchain ledger.

Abstract: This disclosure relates to identification preprocessing. In one aspect, a method includes receiving at an identification server, and from a mobile computing device that has entered a predetermined area surrounding a biometric feature collection device, a group identifier of a user group to which a user of the mobile computing device belongs. The group identifier is transmitted by the mobile computing device in response to the mobile computing device receiving a radio signal broadcast to the predetermined area. The user group is one of multiple user groups. Based on the group identifier, the identification server selects, from a stored registration biometric feature set, a registration biometric feature associated with each user in the user group. The identification server adds the registration biometric feature to a screening feature set established for the biometric feature collection device. Biometric feature-based identification is performed on the user using the screening feature set.

Abstract: A personalized content recommendation provisioning method and system are described, according to various implementations. A token value allocation engine optimizes the allocation of content consumption revenue to publisher systems and recommendation source systems (e.g., the systems that provide the recommended content for presentation with the publisher system's native content) based on a model calculating and applying a life time or long term value (LTV) metric. The LTV metric for revenue is based on a detection of a how often a user system engages with content derived from or associated with a publisher system.

Abstract: Systems and methods provide for user segmentation based on viewability of content displayed on user devices during content impressions. Pixel tags are launched when content is displayed on user devices to capture viewability data for a number of different viewability ranges. The viewability data for each content impression is associated with a unique user identifier (UUID). A segment definition sets forth criteria for a user segment based on viewability, and the user segment is generated by including UUIDs associated with viewability data satisfying the segment definition.

Abstract: A rating prediction engine builds and applies models to predict ratings based on an analysis of textual reviews and comments. The engine can build multiple models simultaneously through distributed parallel model building that employs deep convolutional neural networks (CNNs). The engine can also incorporate user moment feature data, including user status and context information, to provide better performance and more accurate predictions. The engine can also employ heuristic unsupervised pre-training and/or adaptive over-fitting reduction for model building. In some instances, the techniques described herein can be used in a service to predict personalized ratings for reviews or other published items, in instances where the original author of the item did not include a rating and/or in instances where the publication channel does not provide a mechanism to enter ratings.

Abstract: An online system generates one or more models that determine a likelihood of a user interacting with an application over a particular time interval after installing the application. To generate the one or more models, the online system obtains information describing a user's interaction with the application that occurred greater than a threshold time period prior to a time for which user interaction with the application is to be determined. Example user interactions with the application include: usage of the application, numbers of particular interactions with the application, an amount of compensation the application receives from the user, interactions with other users of the application via the application, and any other suitable interactions. Various engagement metrics may be predicted by the one or more models such as an amount of time spent using the application, particular actions taken in the application, and revenue generated by the user in the application.

Abstract: An information feed is provided that surfaces information items that are determined to be interesting or relevant to a user. The information feed may be updated with new information items each time the feed is accessed by the user. Information not surfaced to the user in the feed may be accessed by the user via one or more other means, but only those items having a sufficient importance to the user are surfaced in the feed. Items in the feed are sorted by order of importance or relevance to the user. When new items are added to the feed, they are sorted relative to each other, but are displayed separately from previous groupings of items added to the feed. Items may be reposted to different positions in the feed, and items may be manually removed from the feed if desired.

Abstract: The disclosure provides an approach for distribution of functions among data centers of a cloud system that provides function-as-a-service (FaaS). For example, the disclosure provides one or more function distributors configured to receive a request for loading or executing a function, automatically determine an appropriate data center to load or execute the function, and automatically load or execute the function on the determined data center. In certain embodiments, the function distributors are further configured to determine an appropriate data center to provide storage resources for the function and configure the function to utilize the storage resources of the determined data center.

Abstract: An intent score is assigned to users who are viewing online ads. Users define a bid-range and adjust pricing within the range at an individual user level, based on an intent score that is derived from user activity. An advertiser typically defines a bid range. If the user then interacts with ads or visits the advertiser's website then, based on user actions, the bid price is revised. This process of bid price revision is continuous and results in increased or decreased bid prices for individual users. All participating users and their intent scores are periodically uploaded to RTB platforms where they are used to purchase ad impressions. This increases the likelihood of winning bids for more valuable users with better precision without raising bid prices for entire segments of users.

Abstract: Facilitating pre-positioning of streaming content onto communication devices is provided herein. A system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise facilitating an identification of a first multimedia content stream and a second multimedia content stream. The identification can be based on a usage preference of a defined entity associated with a communication device. The operations can also comprise, in response to a determination that an available network satisfies a defined network criterion, facilitating pre-positioning, at a data store of the communication device, the first multimedia content stream and the second multimedia content stream.

Abstract: A method for providing advertising content, performed by a display device, the method including forming a first pairing between a first terminal and the display device; receiving first advertising content from an advertising server corresponding to a first habit of a user of the first terminal; allocating the first advertising content to a first region among a plurality of regions of a display unit according to at least one of a distance between the first terminal and the display device and a duration for which the first pairing is maintained; and displaying the first advertising content on the first region.

Abstract: Examples of the systems and methods described herein relate to reducing latency issues associated with playing online digital video on client devices. An example method includes: determining that a client device of a user is displaying a web page; determining a likelihood that the user will select content on the web page associated with a digital video; and determining that the likelihood exceeds a threshold and, based thereon, performing at least one of the following steps before the user selects the content: initiating a mediation process to identify the digital video associated with the content; unwrapping a video tag associated with the digital video; storing at least a portion of the digital video on the client device; stitching the digital video together with a second digital video; and/or initializing a video player for displaying the digital video on the client device.

Abstract: This specification describes technologies relating to inferring interactions with advertisers. In general, one aspect of the subject matter described in this specification can be embodied in methods that include providing an online advertisement to a system, receiving data from the system indicating an interaction of the system with the online advertisement and data indicating a subsequent interaction of the system with an online resource of an advertiser associated with the online advertisement, and inferring that an advertisement conversion has occurred based on the received data. Other embodiments of this aspect include corresponding systems, apparatus, and computer program products.

Abstract: In general, embodiments of the present invention provide systems, methods and computer readable media for a predictive recommendation system using predictive models derived from tiered feature data.

Abstract: Embodiments of wireless client transaction systems are described herein. Other embodiments and related methods are also disclosed herein.

Abstract: Single-click delta analysis is disclosed. A user query of status information collected from one or more monitored devices is received from a user. In response to receiving an indication from the user to determine a variance between different portions of the collected status information, a target query and a baseline query are generated using the user query. The generated target query and the generated baseline query are performed, respectively, against data in a data store including the status information collected from the one or more monitored devices. A target set of status information results and a baseline set of status information results are obtained in response to performing, respectively, the generated target query and the generated baseline query. The obtained target and baseline sets of results are combined. Output indicative of a variance between the target and baseline sets of status information results is provided based at least in part on the combining.

Abstract: Methods and systems for utilizing promotion data accessible via a mobile device are disclosed. A digital record of promotion data from a product provider may be stored in a database. A plurality of such digital records may be aggregated for one or more providers. A digital record may be associated with an incentive account associated with an individual. An electronic request to apply promotion data associated with the individual to a transaction and authentication data identifying the individual may be received. A digital record associated with the individual's incentive account may be located and transmitted to a transaction processing system. A processing result record associated with the digital record may be received from the processing system. Usage information derived from the processing result record may be associated in a database.

Abstract: A method includes receiving a plurality of voice commands in a device, the commands including a first trigger phrase and a command phrase, identifying a plurality of occurrences of a particular command phrase in the plurality of voice commands, configuring a second trigger phrase in the device based on the particular command phrase, identifying a subsequent voice command including the second trigger phrase in the device, and executing the particular command phrase on the device responsive to the second trigger phrase.

Abstract: The email suggestor system and method provide an efficient and effective way to capture a user identifier, such as an email address of a consumer in a retail environment. The email suggestor system generates one or more suggested first text portions based on input data, outputs at least one of the suggested first text portions, and receives a selection of a first text portion. The email suggestor system generates one or more suggested second text portions of a user identifier based on the input data, outputs at least one of the suggested second text portions, and receives a selection of a second text portion. The email suggestor system generates a user identifier including the selected first text portion and the selected second text portion. The email suggestor system uses received feedback response to refine and/or train one or more models with which it generates the suggested text portions.

Abstract: A method includes, but is not limited to any combination of: determining a plurality of third-party content elements based in part on information associated with a request for third-party content. The request for third-party content may be received from a web browser displaying a first webpage to a user. A first element from the plurality of determined third-party content elements is transmitted to the web browser. Upon receiving from the web browser a second request for third-party content including user interaction data with the first element, data associated with the determined plurality of third-party content elements is updated based at least in part on the user interaction data. A second third-party element from the plurality of updated third-party content elements is transmitted to the web browser.

Abstract: One embodiment provides a method, including: determining, using a processor, a camera of an information handling device is active; identifying, using a processor, a location of an at least one lens of the camera on the information handling device; and providing, on a display screen of the information handling device, an indication of the location of the at least one lens of the camera. Other aspects are described and claimed.

Abstract: Example systems and methods for inventory management are described. In one implementation, a method may analyze user profiles to retrieve geographic information and user online activity information. The method may identity an offline store corresponding to the retrieved geographic information such that the method may cause inventory management associated with the offline store.

Abstract: Various embodiments of systems, apparatus, and/or methods are described for presenting relevant programming information. A viewing action of an audiovisual event is detected on a receiving device. Data associated with the viewed audiovisual event is then retrieved. The retrieved data includes at least receiving device information and audiovisual event information. The retrieved data is then stored in a historical viewing database, and at least one scoring table is generated from the data in the historical viewing database. Programming information for a plurality of candidate audiovisual events that are available to be viewed is then organized based at least in part on the at least one scoring table and a selected time, and the organized programming information is output to a presentation device.

Abstract: This disclosure presents systems and methods to present augmented reality content based on detection of augmented reality markers. A first presentation device may detect presence of a first marker of a set of augmented reality markers. The first presentation device may present a second marker of the set of augmented reality markers. A second presentation device may detect presence of the second marker presented on the first presentation device. One or both of the first presentation device and/or second presentation device may effectuate presentation of virtual content associated with the set of augmented reality markers.