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 framework for delivering electronic messages to a recipient in an optimized manner based on current real-world and digital activities associated with the recipient. Once a message sent by a sender is received by the message platform, the message and information related to a user's activity is analyzed, and a delivery condition is determined by the messaging platform. The platform then sends the message according to that delivery condition, such that it is delivered to the user only upon the platform relaying the message thereon when the condition is satisfied or occurs.

Abstract: The present teaching relates to a method, system, and programming for encrypted searching. In a search session, a uniform resource locator (URL) is received, wherein a portion of the URL is encrypted via a first key. A second key associated with the first key is obtained. A determination is made regarding whether a time-related criterion associated with the second key is satisfied. In response to the time-related criterion being satisfied, the portion of the URL is decrypted based on the second key to obtain a keyword, one or more search results are obtained based on the keyword, and a webpage including the one or more search results to be provided to a user is generated.

Abstract: Disclosed are embodiments for providing batch performance using a stream processor. In one embodiment, a method is disclosed comprising receiving an event that includes a plurality of fields and extracting needed fields from the plurality of fields. The method then serializes the plurality of fields and generates a new event that includes the set of needed fields and a hidden field, the value of the hidden field comprising the serialized fields. The method then transmits the new event for processing using at least one processing stage of a stream processor. In response, the method reserializes a processed event generated by the stream processor and outputs the reserialized event to a downstream consumer.

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to providing query suggestions based on a number of data sources including person's personal data and non-personal data. The disclosed techniques may include receiving an input from a person, obtaining a first set of suggestions based on information from a first data source, presenting the first set of suggestions to the person, and presenting, to the person, a second set of suggestions obtained from a person corpus when a portion of the person corpus relevant to the input is accessible. The person corpus may be from a second data source that is private to the person.

Abstract: One or more computing devices, systems, and/or methods for controlling an output device are provided. For example, features are extracted from data points of an object. A set of data points are identified from the data points based upon the set of data points having features corresponding to target features. Marker elements are assigned to the set of data points. A mapping structure is used to assign output indicators to the marker elements. The output device is controlled to provide output indicators assigned to marker elements as the marker elements become a current focus of the user navigation.

Abstract: Disclosed are embodiments for providing batch performance using a stream processor. In one embodiment, a method is disclosed comprising completing a first audit for a primary event type, the first audit generating a set of primary events and completing a second audit for a secondary event type, the second audit generating a draft set of secondary events and an auxiliary feed of un-joined secondary events. The method then performs a join audit check on the auxiliary feed of un-joined secondary events and a set of flags, each flag in the set of flags indicating that a respective un-joined secondary event was properly joined. Based on the results of the join audit check, the method replays a subset of the un-joined secondary events in the auxiliary feed upon determining that the join audit check failed.

Abstract: Disclosed are embodiments for providing batch performance using a stream processor. In one embodiment, a method is disclosed comprising receiving a stream of events, where each event comprises a header including an event type field and a timestamp. and identifying that the header of a given event in the stream of events includes at least one secondary event in a list of secondary identifiers included in the header. A flag is set in a distributed database for the at least one secondary event, then writing the given event to a table in the distributed database occurs, the table selected based on a respective event type field and timestamp associated with the given event. Deduplicating the given event and the at least one secondary event in response to a close of books (COB) signal occurs, after which writing at least one deduplicated event to a storage device occurs, the at least one deduplicated event selected from the group consisting of the given event and the at least one secondary event.

Abstract: The present teaching relates to method, system, medium, and implementations for machine learning. A check is performed on a level of available bidding currency for bidding a training sample that is used to train a model via machine learning. A bid in an amount within the available bidding currency is sent, to a source of the training sample, for the training sample. The training sample is received from the source when the bid is successful. A prediction is then generated in accordance with the training sample based on one or more parameters associated with the model and is sent to the source.

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 automatically allowing web browsing in a user interface of an electronic messaging system. The disclosed systems and methods automatically display electronic messages containing item information displayed in an electronic message in place of any web page links associated with the item enabling browsing of the item information from within the electronic messaging system's user interface.

Abstract: One or more computing devices, systems, and/or methods for time series trend root cause identification are provided. In particular, an overall trend of multi-dimensional time series data and element trends for measured elements of dimensions within the multi-dimensional time series data is identified. Weighted correlations between the element trends of the measured elements and the overall trend are calculated. The weighted correlations of the measured elements and aggregate weighted correlations of measured element combinations are evaluated to identify a set of measured elements having a threshold correlation to the trend.

Abstract: Disclosed are embodiments for generating metadata files for composite datasets. In one embodiment, a method is disclosed comprising generating a tree representing a plurality of datasets; parsing the tree into an algebraic representation of the tree; identifying a plurality of terms in the algebraic representation, each term in the terms comprising at least two factors, each of the two factors associated with a dataset in the plurality of datasets; generating a metadata object of the plurality of terms; serializing the metadata object to generate serialized terms; and storing the serialized terms in a metadata file associated with the plurality of datasets.

Abstract: Content items are provided to users and their interactions with the provided content items are recorded in respective user profiles. The users' interactions thus recorded over time are analyzed to determine if the users have a balanced information intake. A reading habit score is determined for a user based various criteria. The user's reading habit score is analyzed to determine if the user's habits indicate a balance in the user's content consumption. If the user's reading habit score indicates an imbalance in the user's content consumption, suggestions are provided to the user for achieving a more balanced reading habit and thereby improving the user's reading habit score.

Abstract: The present teaching relates to streaming data querying and providing query results. In one example, a query is received for events happening after receipt of the query. A plurality of data records are obtained, where each of the data records corresponds to an event happening after receipt of the query. For each of the plurality of data records, it is determined whether the data record matches the query. Based on the determining, one or more query results are determined and provided as a response to the query.

Abstract: Systems, methods, and computer-readable media are provided for graph data modeling. In accordance with one implementation, a method is provided that includes operations performed by at least one processor. The operations of the method include receiving raw data and determining a model for the raw data, wherein the model defines the graph structure for the raw data. The method also includes converting the raw data to fit the model, and generating at least a portion of a graph based on the raw data and the model, wherein the graph produces modeled data. The method also includes archiving the graph.

Abstract: Information is collected about a user, e.g., the user's interests, from the user's interaction with digital messaging content. Information collected about the user can be used to identify an interest of the user. The identified interest(s) can be used to select content to be presented to the user. By way of a non-limiting example, information collected in response to the user clicking on a link in an electronic mail, email, message can be used to identify one or more content items to be presented to the user. By way of yet another non-limiting example, the identified content item(s) can comprise advertising content, news articles, etc.

Abstract: Techniques for identifying and validating online content items for presentation to users are disclosed. Disclosed systems and methods use a sentiment analyzer to determine a sentiment of a candidate content item and collateral content items identified using keywords associated with the candidate content item, determine a measure of agreement in sentiment using the sentiments determined for the candidate content item and collateral content items, and provide at least a portion of the candidate content item in a display at a client computing device, the display including a consensus belief indicator representing the measure of agreement in sentiment.

Abstract: One or more computing devices, systems, and/or methods are provided. Event information associated with a plurality of events may be identified. The plurality of events may be associated with client devices and entities. A network profile associated with the client devices and the entities may be generated based upon the event information. A similarity profile associated with the client devices may be generated based upon the network profile. The similarity profile may be indicative of one or more similarity scores associated with a first client device and one or more client devices. A user profile associated with the first client device may be modified, based upon the similarity profile and/or one or more user profiles associated with the one or more client devices, to generate a modified user profile. Content may be selected for presentation via the first client device based upon the modified user profile.

Abstract: The present teaching generally relates to providing optimized access control rules. A request may be received from a client device. A determination may be made, based on the request, that an update is needed for access control rule information for the client device. Rule data may be generated. The rule data may include a plurality of data buckets each including one or more access control rules, each data bucket of the plurality being associated with a range of destination port numbers, and where each of the one or more access control rules comprise a set of tuples having a common source network and source port number, and one or more destination port numbers associated with the common source network and source port number. The rule data may be sent to the client device.

Abstract: An email system is configured to enable a user to identify frequent email senders and block or consolidate emails from such senders. The emails received within a predetermined time period from a sender, who is selected for consolidation by a user of an email account, are consolidated into one entry in the inbox. This mitigates the inbox from getting overcrowded with frequent emails from various senders. Statistics related to various senders are also generated in order to aid the user in identifying senders whose emails need to be consolidated or blocked.

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 that provides an optimized ranking methodology for query suggestion and auto-completion tasks that messaging systems can implement and embed into their functionality. The disclosed framework can leverage the mail query logs on a personal level or on the aggregate (e.g., across all or a set of users on a network), and the mailbox content of each user to produce a comprehensive ranking function that generates ranked search suggestions for a mail search query for both person and company entities.