Abstract: One or more computing devices, systems, and/or methods for classifier validation are provided. A set of in-sample examples are partitioned into a reduced in-sample set and a remaining in-sample set. The reduced in-sample set is processed using a set of classifiers. A subset of classifiers are identified as having error counts, over the reduced in-sample set, below a threshold number of errors. A training procedure is executed to select a classifier having a minimum error rate over the set of in-sample examples. If the classifier is within the subset of classifiers, then an out-of-sample error bound is determined for the classifier.

Abstract: The present teaching relates to a method, system, and programming for encrypted searching. One or more keywords are obtained from a user. A uniform resource locator (URL) is generated, wherein a portion of the URL includes the one or more keywords encrypted via a first key. The URL is transmitted to a search server. In response to a time-related criterion associated with the URL being satisfied, one or more search results are obtained from the server, and in response to the time-related criterion associated with the URL being violated, a search box is obtained in response to transmitting the URL.

Abstract: In one embodiment, a method for creating one or more infographics, comprising: receiving and storing data associated with an individual or an entity, in a format according to a schema that includes at least two properties associated with the individual or entity; reading at least a portion of the data; determining which of the at least two properties in the schema do not have corresponding read data associated with the individual or entity; based on that determination, selecting an infographic definition from among a plurality of infographic definitions defining the appearance of at least a portion of an infographic; generating one or more infographics based on (i) the at least a portion of the data and (ii) the selected infographic definition; and providing the one or more generated infographics to an output device.

Abstract: The present teaching relates to online user profiling. In one example, content associated with a first user of a social media network is obtained. From the content associated with the first user, a first link to a first piece of content is identified. A second user of the social media network associated with the first user is determined in the context of the social media network. From content associated with the second user of the social media network, a second link to a second piece of content is identified. The first and second pieces of content are retrieved based on the first and second links, respectively. User profile of the first user is generated based, at least in part, on the first and second pieces of content.

Abstract: Methods and devices for assessing the quality of user-generated content are described. In one embodiment, a method is disclosed for measuring the quality of a user-generated answer to a question by combining various factors, including question-answer surface word vector similarity, question-answer explicit semantic analysis vector similarity, answer-answer explicit sematic analysis vector similarity, query performance predictor, sentiment analysis, textual analysis of the answer, and reputation of the answerer. The method uses a learning procedure to determine the best algorithm for measuring the overall quality of the answer based on these factors.

Abstract: A method and system for recommending content to a user whose interest(s) has not been identified is disclosed. A base user profile may be created for association with the user. The base user profile may be created by generating a list of ranked interests of a set of representative users. The list of ranked interests may be generated based on activity information obtained for the set of representative users. Content may be recommended to the user based on the base user profile.

Abstract: Methods, systems, and computer-readable media are disclosed for dynamic partitioning in distributed computing environments. One method includes: receiving a first data set and a second data set; mapping the first data set into a first set of key-value pairs; mapping the second data set into a second set of key-value pairs; estimating, using a sketch, a frequency count for each key based on the first set of key-value pairs and the second set of key-value pairs; determining whether the estimated frequency count for each key is greater than or equal to a predetermined threshold; and partitioning the key when the estimated frequency count for the key is greater than or equal to the predetermined threshold.

Abstract: A method implemented by at least one server computer is provided, including: providing, over the Internet, access to a plurality of topics, wherein each topic includes, and further provides access to, a plurality of posted items; recording interaction data for the plurality of topics, the interaction data identifying user activity occurring within each of the topics; analyzing the interaction data to identify clusters of topics that exhibit similar behavioral patterns; for each cluster of topics, generating a community that includes the topics in the cluster; providing, over the Internet, access to the communities, wherein accessing a given community further provides access to the topics included in that community, which further provide access to the posted items that are included in the topics within that community.

Abstract: Systems and methods are disclosed for identifying human users on a network.

Abstract: One or more computing devices, systems, and/or methods for facilitating communications with service providers using disposable email addresses (DEAs) are provided. A first email, associated with a requested service, may be received from an email account. A set of service providers may be determined based upon the requested service. A DEA corresponding to the email account may be generated. A second email, comprising an indication of the DEA, may be generated based upon the first email. The second email may be transmitted to a set of email accounts associated with the set of service providers. Emails received from the set of email accounts that are addressed to the DEA may be transmitted to the email account. Responsive to receiving a request to deactivate the DEA from a device associated with the email account and/or responsive to determining that the requested service is completed, the DEA may be deactivated.

Abstract: A system and method are directed towards providing non-requested content to a mobile terminal based on characteristics of, and tracked usage of the mobile terminal to request content through an online portal service, which provides access to content in multiple subject areas. A mobile user profile is created from the characteristics and patterns of the tracked usage. The tracked usage information includes the time, location, frequency at which the content was requested. Based on the mobile user profile information, content related to previously requested content is provided to the mobile terminal upon a trigger that is related to the requested content. The trigger event may include the mobile terminal returning to a location from which certain content was previously requested. The non-requested content may further be based on a related general user profile that indicates usage of an alternate electronic device to access content through the portal.

Abstract: The present disclosure describes systems and methods for email management that leverages information derived from a sender's message activity with particular recipients in order to automatically format subsequent messages to those recipients according to the derived information. The present disclosure describes determining message templates associated with messages sent to repetitive recipients, and applying those determined templates upon composition of subsequent messages to the same recipients. Message templates comprise information associated with a message's settings, layout, message content, content type(s), a message type and the like. The determination of message templates and template information for application to messages being composed can be based on learned expressions and/or patterns from a sender's message activity or behavior.

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: 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 automatically analyze a live streaming media file, and identify portions of the media that are highlights. The content classified as a highlight can be shared across social media platforms, and indexed for searching respective to attributes of the video content. The streaming and highlight media content is renderable in a novel, modified video player that enables variable playback speeds for how content is classified, and enables on-demand selections of specific content portions and adjustable rendering displays during streaming.

Abstract: Disclosed are embodiments for replacing database table join keys with index keys. In one embodiment, a method is disclosed comprising: receiving, by a processor, annotation data, the annotation data comprising a set of rows; retrieving, by the processor, a root dataset, the root dataset stored in one or more files; generating, by the processor, a row identifier for each row in the set of rows, the row identifier storing a plurality of fields enabling alignment of a respective row in the annotation data to a corresponding row in the root dataset; generating, by the processor, an annotation dataset, the annotation dataset comprising the set of rows and corresponding row identifiers; and writing, by the processor, the annotation dataset to at least one file, the at least one file separate from the one or more files.

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: Methods and systems are provided for identifying unique devices and/or unique users of a web-based system within constraints of an external application. In some embodiments the process comprises receiving request information from a client device at an application server, using such information to form a device fingerprint, and attempting to match the newly-formed fingerprint with exactly one fingerprint stored in a database of previously-formed fingerprints. Some embodiments utilize a two-stage Locality-Sensitive Hash query technique. The client device fingerprint may be converted into a series of LSH values which may be used to find a matching fingerprint. A first stage may query input LSH values against LSH values in a data store, and a second stage may query LSH values temporarily held in volatile memory, thereby minimizing network traffic and reducing a total process time.

Abstract: One or more computing devices, systems, and/or methods for implementing automated barriers and delays for communication are provided. Content generated by a user may be evaluated to classify the content before the content has been submitted for access by other users. A user interface is generated and populated with an activity for the user to perform based upon a classification of the content. The user may be restricted from submitting the content until successful performance of the activity. Upon determining that the user successfully performed the activity, the user may be provided with an option to submit the content. Otherwise, the user may be blocked from submitting the content.

Abstract: The present teaching relates to searching. In one example, a search query is received from a person. A plurality of search results are retrieved based on the search query. An intent of the person is estimated with respect to at least some of the plurality of search results. The estimated intent is what the person intends to do with respect to the at least some of the plurality of search results. The plurality of search results are provided based on the estimated intent of the person.

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.