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 extracting and creating an animated Graphics Interchange Format (GIF) file from a media file. The disclosed systems and methods identify a number of GIF candidates from a video file, and based on analysis of each candidate's attributes, features and/or qualities, at least one GIF candidate is automatically selected for rendering.

Abstract: Systems and methods are provided for enabling access to digital content based on geographic locations visited by mobile device users. One method includes receiving a promotion associated with premium digital content, access information, and one or more locations in which the premium digital content is accessible.

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

Abstract: In one embodiment, a current context of a mobile device may be ascertained, where the current context includes an indication of a last application opened via the mobile device, wherein the last application opened is one of a plurality of applications installed on the mobile device. A probability, for each of the plurality of applications, that a user of the mobile device will use the corresponding application under the current context may be determined, where the probability for at least a portion of the plurality of applications is determined by applying a computer-generated model to the current context. One or more of the plurality of the applications may be identified based, at least in part, upon the probability, for each one of the plurality of applications, that the user of the mobile device will use the corresponding application.

Abstract: Computerized systems and methods are disclosed for performing contextual classification of objects using supervised and unsupervised training. In accordance with one implementation, content reviewers may review training objects and submit supervised training data for preprocessing and analysis. The supervised training data may be preprocessed to identify key terms and phrases, such as by stemming, tokenization, or n-gram analysis, and form vectorized objects. The vectorized objects may be used to train one or more models for subsequent classification of objects. In certain implementations, preprocessing or training, among other steps, may be performed in parallel over multiple machines to improve efficiency. The disclosed systems and methods may be used in a wide variety of applications, such as article classification and content moderation.

Abstract: Systems and methods are disclosed for protecting user privacy in, for example, online advertising environments. The method includes receiving data related to a user in a first communication session between a host server and a client device, and generating a user profile associated with the user. The method further may include encrypting the user profile to produce encrypted user profile data and generating a decryption key for decrypting the encrypted user profile data. Thereafter, either the decryption key or a portion of the encrypted user profile data may be transmitted to the client device and then deleted from host server before ending the first communication session. The method further may include establishing a second communication session between the host server and the client device and retrieving the transmitted content. Then targeted advertising may be provided by decrypting the encrypted user profile data.

Abstract: A method is provided, that initiates with providing a video over a network to a plurality of client devices, wherein each client device is configured to render the video and track movements of a pointer during the rendering of the video. Movement data that is indicative of the tracked movements of the pointer is received over the network from each client device. The movement data from the plurality of client devices is processed to determine aggregate pointer movement versus elapsed time of the video. The aggregate pointer movement is analyzed to identify a region of interest of the video. A preview of the video is generated based on the identified region of interest.

Abstract: Disclosure includes system, method and architecture for selecting supplemental digital content using visual appearance. Digital content that is visually similar, or dissimilar, to digital content requested by a user can he identified and provided for presentation with the requested content. The additional digital content is visually congruent, or visually incongruent, with content requested by a user, such that the additional content is similar, or dissimilar, to the requested content from a visual standpoint. In a presentation of the requested content, the presentation position of each additional content item relative to the presentation position of each requested content can be identified using visual congruence, or visual incongruence.

Abstract: The present disclosure relates to a computer system configured establish and utilize a database for online ad realization prediction in an ad display platform associated with N parties, wherein N is a positive integral greater than 1. The computer system is configured obtain a party hierarchy for each of the N parties including a plurality of features of the party; select a target ad display event including N features, each of the N features corresponding to a node in a party hierarchy; obtain a prior probability reflecting an unconditional probability of ad realization occurrence at the target ad display event among all possible ad display events; for each of the N features: determine a marginal prior probability by decomposing components associated with the other N?1 features from the prior probability; determine a marginal posterior probability based on the marginal prior probability; and save the marginal posterior probability in the corresponding node of the party hierarchy.

Abstract: Methods, systems, and computer-readable media for anonymizing electronic documents. In accordance with one or more embodiments, structurally-similar electronic documents can be identified among a group of electronic documents (e.g., e-mail messages, documents containing HTML formatting, etc.). A hash function can be specifically tailored to identify the similarly structured documents. The structurally-similar electronic documents can be grouped into a same equivalence class. Masked anonymized document samples can be generated from the structurally-similar electronic documents utilizing the same equivalence class, thereby ensuring that the anonymized document samples when viewed as a part of an audit remain anonymous. An online process is provided to guarantee k-anonymity of the users over the entire lifetime of the auditing process. An auditor's productivity can be measured based on the amount of content revealed to the auditor within the samples he is assigned.

Abstract: A system and method are disclosed for selectively updating software and sending other information, such as advertisements, to an IM client device based on client-side behavior vectors collected from the IM client. Behavior vectors are information related to a software component, such as IM client messenger, client device, and a user of the client device, including, but not limited to core software, optional software, advertisements displayed, usage data, performance data, and client meta data.

Abstract: The present teaching relates to determining user interests based on a correspondence graph. In one example, correspondences among a plurality of users are obtained. Connections among at least some of the plurality of users are identified based on the correspondences. A graph is constructed based on the identified connections. Each of the identified connections has a strength determined based on correspondences associated with the identified connection. One or more seed users are selected from the plurality of users. Each of the one or more seed users has at least one known interest. An interest is determined for each of the at least some of the plurality of users based on the graph and the known interests of the one or more seed users.

Abstract: One or more computing devices, systems, and/or methods for searching across multiple user interfaces are provided. For example, a search query may be received from a user of a computing environment. A set of user interfaces, hosted by the computing environment, may be identified (e.g., mobile apps of a mobile operating system, browser tabs of a web browser, etc.). Content within the set of user interfaces may be queried using the search query to identify search results of the search query (e.g., webpages, social network posts, emails, or other content matching the search query). In an example, cached content of the user interfaces (e.g., recently accessed emails cached within a local content buffer cache by the web browser) may be searched using the search query for efficient querying of relevant content, such as through local or offline querying. The search results may be provided to the user.

Abstract: Disclosed are systems and methods for improving interactions between servers in a messaging system supported by or configured with content providing servers or platforms. The disclosed systems interact to filter data across platforms, which data can be used to improve the contextual quality of data used in processing interactions between or among processors in such systems. The disclosed computer systems and methods enable the communication of contextually relevant Hypertext Markup Language (HTML) content to a user's inbox. Such messages are native to a communication platform, application or service associated with the user's inbox. Such messages can be selected for delivery to a user based on the user's profile data, behavioral information, a user's geographic location, demographic information, a time period, and the like.

Abstract: Each user is represented by a mixture of topics, e.g., one or more topics, and a probability of interest in each topic in the mixture, and given the target user, one or more other users can be recommended, each user that is recommended to the target user is determined to have a topical interest similarity with the target user, e.g., the target user's interest in one or more topics of the mixtures of topics is determined to be similar to a recommended interest in the one or more topics of the mixture of topics. The target user and the one or more recommended users can be said to have similar topical interests. The target user can use the user recommendation to establish an interactive dialogue, for example, with one or more users identified in the user recommendation.

Abstract: Among other disclosures, a method may include collecting historical communication data and personal data relating to a portion of a plurality of communications, a sender of one or more of the communications or one or more recipients of the communications. The method may include depositing the collected data into a repository of historical communication data and personal data. The method may include presenting one or more items in the repository on a mobile device, in response to user behavior.

Abstract: A method implemented by at least one server computer is provided, including the following operations: receiving a plurality of training documents, each training document being defined by a sequence of words, each training document having one or more labels associated therewith; embedding the training documents, the words, and the labels in a vector space, wherein the embedding is configured to locate a given training document and its associated labels in proximity to each other in the vector space; embedding a new document in the vector space; performing a proximity search in the vector space to identify a set of nearest labels to the new document in the vector space; associating the nearest labels to the new document.

Abstract: Systems and methods are disclosed for managing the resetting of online identities or accounts of users of Internet web pages. One method includes: receiving, through an electronic device, a request to reset login information to access a web page associated with the user's online account; determining that an IP address associated with the request is not identified as being suspicious; receiving user data intrinsic to the user's request; automatically verifying two or more values of the data intrinsic to the user's request as being indicative of a level of trust of the identity of the user; and transmitting, to the user over the Internet, a subset of options to reset the login information, the subset being selected based on the level of trust.

Abstract: In one embodiment, a first set of applications installed on a first device is identified. Device characteristics of a second device may be ascertained. An application store for the second device may be determined based, at least in part, on the device characteristics of the second device. A second set of applications corresponding to the first set of applications is selected, where the second set of applications is available from the application store and compatible with the device characteristics of the second device.

Abstract: A computing device and method for displaying content such as email messages in a user interface including email message cards. Email messages in an email mailbox are accessed. The email messages are configured into a graphical display format, where the display format includes email message cards, each email message card representing a respective email message in the mailbox and including a portion of email contents of the email message. The graphical display format is communicated to a display device for display of the configured message cards.