Abstract: Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for privacy-aware machine learning using an improved data encoding that withholds more information. The disclosed systems and methods encode a corpus of data and encode each query used in searching and generating query results from the corpus of encoded data.

Abstract: The present teaching relates to communication related to predictions. A communication chain is created with multiple chain units, each operating independently to provide prediction services related to a prompt with embedded information therein associated with predictions for the prompt to enable prediction services. A request is received for a requested operation related to a query prompt on one of prediction solicitation, prediction entry, verification entry, and prediction access. If a chain unit for the query prompt, the request is directed to the chain unit to perform the requested operation. If not, a new chain unit is created for the query prompt and the request is forwarded to the new chain unit to carry out the requested operation.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework for analyzing messages shared over a network and identifying information in them referencing entities based on a determined context of the messages. Once the entity information is identified, the disclosed framework segregates them based on the context, and then presents them in contextual views as content cards within or as part of generated, content-specific interfaces. The disclosed framework enables users to continue messaging while pivoting between different views of the generated interfaces, which enables the retrieval of additional information related to the entity information included on the content cards.

Abstract: The present teaching generally relates to detecting providing pre-validated data buckets for online experiments. In a non-limiting embodiment, user activity data representing user activity for a first plurality of user identifiers may be obtained. A first set of values and a second values, representing first and second user engagement parameters, respectively, may be generated for each user identifier based on the user activity data. A first ranking and a second ranking may be determined for the first and second sets, respectively. A first exclusion range including a first number of values to be removed from the first and second sets may be determined. A homogenous value set may be generated by removing the first number of values from the first and second sets, where each value from the homogenous value set corresponds to a user identifier available to be placed in a data bucket for an online experiment.

Abstract: The present teaching relates to method, system, medium, and implementations for machine learning. A bid is received, from an expert during training, for a training sample with an amount within a level of available bidding currency associated with the expert. The training sample is used for training a model associated with the expert. It is determined whether the expert is among at least one winner selected based on bids from one or more experts. If the expert is among the at least one winner, the training sample is sent to the expert. The at least one winner is selected based on one or more criteria aiming at expert diversification.

Abstract: In some aspects, the techniques described herein relate to a method including: receiving a request from a client device to join a room, the room associate with a plurality of other client devices streaming multimedia content; adding the client device to the room in response to the request; computing a synchronization time for the client based on time values associated with the client device and the other client devices; and transmitting the synchronization time to the client device, causing the client device to adjust playback of the multimedia content based on the synchronization time.

Abstract: A method for presenting personalized content to a user includes receiving user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network, extracting one or more data tags from the received user data, associated at least one data tag with a message, finding information in the network that corresponds to the associated data tag, generating a notification for the user, the notification including the found information in the network, and outputting the generated notification to a user interface of a device of the user.

Abstract: The disclosed embodiments relate to processing of notifications displayed on computing devices. In one embodiment, a method is disclosed comprising receiving a notification and querying at least one activity database that records historical interactions of a user. The method then receives a priority indicator in response to the querying and determines whether the priority indicator indicates a high priority. If so, the method generates, and in some embodiments displays, a second notification.

Abstract: Disclosed are embodiments for providing a domain-specific visualization of message content. Unclassified messages are received for a sender and a real-time classifier is used to assign categories to the messages. User interactions with email can then be used to generate a ranked list of domain-specific senders. This ranked list of senders and classified emails can then be used to provide a domain-specific view to a user. Further features (e.g., aggregated content pages by sender, dynamic call-to-action buttons, message previews etc.) can then be built on top of the ranked senders and messages.

Abstract: The present teaching relates to placing sponsored search results based on correlation of the sponsored search results. A search query is first received at a search engine from a user. One or more keywords are further extracted from the search query. A plurality of sponsored search results related to the one or more keywords are received in response to the search query. The placement of the plurality of sponsored search results are further determined based on correlation of the plurality of sponsored search results, and a search results page containing the plurality of sponsored search results are presented to the user.

Abstract: Disclosed are systems and methods utilizing neural contextual bandit for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to make item recommendations using latent relations and latent representations, which can improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods use neural network modeling in automatic selection of a number of items for recommendation to a user and using feedback in connection with the recommendation for further training of the model(s).

Abstract: Disclosed are embodiments for providing batch performance using a stream processor. In one embodiment, a method is disclosed comprising processing a plurality of events using a stream processor and executing a deduplication process on the plurality of events using the stream processor. The plurality of events is outputted to a streaming queue and a close of books (COB) of a data transport is detected. Then, an audit process is initiated in response to detecting the COB signal, the audit process comprising comparing a set of raw events to a set of events in the streaming queue to identify a set of missing events, and replaying a set of missing events through the stream processor.

Abstract: The present teaching relates to method, system, medium, and implementations for identifying k nearest neighbors. One or more KNN lists corresponding to one or more source data points are received. Each KNN list includes K neighbors of a source data point and each of the K neighbors is a data point represented by an index. Neighbor pairs and reverse neighbor pairs are generated based on the one or more KNN lists. The neighbor pairs and reverse neighbor pairs having the same source data point are grouped to generate a grouped pairs of neighbors for the source data point. A local join operation is performed based on grouped pairs of neighbors for each source data point to generate a combined neighborhood for the source data point, which is then sent to a KNN server, where combined neighborhoods generated by multiple local join executors are integrated to update a plurality of global KNN lists.

Abstract: Method, system, and programs for measuring user engagement with content items. In one example, a query is received. A set of content items related to the query is obtained. A presentation of at least one content item of the set of content items is provided on a user interface. A user activity related to the at least one content item is determined. An amount of time between a time at which the presentation of the at least one content item is provided on the user interface and a time at which the user activity occurred is determined. A score associated with the content item is determined based on the amount of time. Information related to user engagement with the set of content items is generated based on the score.

Abstract: The disclosed systems and methods provide a novel framework that provides mechanisms for performing cost-effective, accurate and scalable detection and recognition of fine-grained events. The framework functions by training high precision and high recall object/optical character recognition (OCR) models and aligning video frames to text commentaries of the videos (e.g., licensed play-by-play). The disclosed framework operates as a single algorithm that performs multimodal alignments between events/actions within videos and their prescribed text. Thus, the disclosed framework is able to scale to fine-grained action categories across different venues by delving into the key frames and key aspects of a video to identify particular actions performed by particular actors, thereby providing the novelty of fine-granted action detection and recognition.

Abstract: The disclosed systems and methods provide a novel framework that parameterizes columns in a templated virtual semantic layer. The disclosed framework enables inter- and cross-column relationships between stored data within a SQL database to be determined and stored, and then leveraged at query time to enable an optimized search of the data within the database. The disclosed framework enables a database to be construed, modified and/or configured according to a hierarchy, and/or with types of metadata, that corresponds to the determined column relationships. This not only reduces the amount of data stored and reduces the time to process queries, but also enables a more streamlined approach for searches to be constructed and executed, which can increase the performance of the database and the operations of systems that are backed by the database.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content communicating, displaying, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods determine and display message content within a portion of a message inbox in a manner that is specific to the type message content. According to some embodiments, when a message is received in a message inbox of a user, the message content can be opened for display within a dedicated portion of the inbox, thereby enabling improved message content retrieval, access and navigation within a message platform or message application.

Abstract: The present teaching relates to a method, system, and programming for searching content. A sketch of an object is obtained from a user. The sketch is processed by a neural network to generate an image corresponding to the sketch of the object. One or more features are extracted from the image, and one or more images previously stored are identified that have features similar to the one or more features. The one or more images are provided to the user.

Abstract: Disclosed is a server computer that receives, over a network from a computing device, a request for a search suggestion related to a search query that is input into a search term entry area displayed by a web browser executing on the computing device. In response to receiving the request, the server computer transmits over the network to the computing device, instructions for the computing device to display a search suggestion related to the search query, the search suggestion corresponding to a search results web page. The instructions further cause the computing device to store, in a memory of the computing device, a web page component associated with the search results web page without causing the computing device to visibly display the web page component during display of the search suggestion.

Abstract: A request is received, over a network from a requesting user to sort a plurality of comments relating to online content by a social status of a respective one of a plurality of commenters associated with each of the plurality of comments. The social status of the each of the plurality of commenters is determined using a computing device. The plurality of comments are sorted, using the computing device, by the social status of the respective one of the plurality of commenters associated with each of the plurality of comments. A representation of the sorted comments is transmitted, over the network, to the requesting user. The social status of commenters can reflect, in various embodiments, the status of commenters as favorite commenters of the requesting user, as members of the requesting user's social network, or as a top rated commenters in an online community.