Preview of Compressed File Email Attachments
    331.
    发明申请

    公开(公告)号:US20170142042A1

    公开(公告)日:2017-05-18

    申请号:US14945415

    申请日:2015-11-18

    Applicant: Yahoo! Inc.

    CPC classification number: H04L51/08 G06F16/168 G06F16/9577

    Abstract: A system and method of generating a preview of a file attachment includes receiving the file attachment in an email server. The file attachment can be received either during composition of the email or when receiving an inbound email. Determining if the file attachment is a previewable file type or compressed file type or non-previewable file type and automatically generating a preview of the file attachment including identifying the file attachment, parsing the file attachment to identify content of the file attachment, wherein the identified content includes a pagination of the file attachment. A file structure for each page of the file attachment is created and then saved to an attachment store in the email server.

    GRANULAR DATA FOR BEHAVIORAL TARGETING

    公开(公告)号:US20170140424A9

    公开(公告)日:2017-05-18

    申请号:US13739400

    申请日:2013-01-11

    Applicant: YAHOO! INC.

    CPC classification number: G06Q30/0251 G06F17/00 G06N5/02

    Abstract: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.

    COMPUTERIZED SYSTEM AND METHOD FOR AUTOMATICALLY EXTRACTING GIFS FROM VIDEOS

    公开(公告)号:US20170133054A1

    公开(公告)日:2017-05-11

    申请号:US14933397

    申请日:2015-11-05

    Applicant: YAHOO! INC.

    CPC classification number: G11B27/031 G11B27/28

    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, as well as determinations related to an optimal playback setting for the content of each GIF candidate, at least one GIF candidate is automatically provided to a user for rendering.

    CONTENT COMPRESSION AND/OR DECOMPRESSION

    公开(公告)号:US20170126246A1

    公开(公告)日:2017-05-04

    申请号:US15334046

    申请日:2016-10-25

    Applicant: Yahoo! Inc.

    CPC classification number: H03M7/3059 H03M7/40

    Abstract: Briefly, embodiments of methods and/or systems of compressing and/or decompressing content are disclosed. An embodiment, for example, may comprise determining upper and lower equivalent byte values for the content. The content may be transformed and reordered based, at least in part, on the upper and lower equivalent byte values and compressed using, for example, delta compression.

    Content ranking based on user features in content

    公开(公告)号:US09633119B2

    公开(公告)日:2017-04-25

    申请号:US14147789

    申请日:2014-01-06

    Applicant: Yahoo! Inc.

    Inventor: Mike Wexler

    CPC classification number: G06F17/30867

    Abstract: Methods, systems, and computer programs are presented for providing a personalized news stream to a user. One method includes an operation for identifying user features associated with a user. The user features include personal features and social features. The personal features are based on activities of the user and the profile of the user. The social features are based on information about social connections of the user. The method further includes operations for extracting content features from a corpus of content items, for identifying intersections between user features and content features, and for assigning weights to the content features from the corpus based on the identified intersections. A score for each content item is determined based on the content features and the respective weights of the content items. The content items are then ranked based on the scores. One or more of the ranked content items are displayed.

    INTERACTIVE SITEMAP WITH USER FOOTPRINTS
    340.
    发明申请

    公开(公告)号:US20170098007A1

    公开(公告)日:2017-04-06

    申请号:US15387931

    申请日:2016-12-22

    Applicant: Yahoo!, Inc.

    Abstract: A system and method for generating an interactive sitemap of a website includes steps of: receiving an identifier of a user visiting the website; storing identifiers of the website pages visited by the user; associating the website page identifiers with the user identifier; capturing a snapshot of each website page visited by the user; determining website pages recommended for the user, but not yet visited by the user; capturing a snapshot of at least one recommended website page; and generating the interactive sitemap that includes a sitemap tree structure of the website with selectable nodes representing the website pages visited by the user and the website pages recommended for the user. When the user rolls over one of the selectable nodes, presenting the snapshot within the in-page window.

Patent Agency Ranking