COMPUTERIZED SYSTEM AND METHOD FOR HIGH-QUALITY AND HIGH-RANKING DIGITAL CONTENT DISCOVERY

    公开(公告)号:US20170270122A1

    公开(公告)日:2017-09-21

    申请号:US15074028

    申请日:2016-03-18

    Applicant: YAHOO! INC.

    Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, 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 provide a unified digital content discovery framework that implements a combination of a logistic loss function and a pair-wise loss function for information retrieval. The logistic loss function reduces non-relevant images from appearing in the retrieved results, while the pair-wise loss function ensures that the highest-quality content is included in such results. The combination of such functions provides a search information retrieval system with the novel functionality of quantifying a search results' relevance and quality in accordance with the searcher's intent.

    Media toolbar and aggregated/distributed media ecosystem

    公开(公告)号:US09736216B2

    公开(公告)日:2017-08-15

    申请号:US13727443

    申请日:2012-12-26

    Applicant: Yahoo! Inc.

    CPC classification number: H04L67/025 G06F17/30867 G06Q30/02 H04L29/08099

    Abstract: A method and network architecture through which user-specific media profile data can be made available to third parties. A browser is optionally enhanced to facilitate playback and control of one or more media players, thereby allowing the user to play content via the browser. As the user plays content in the browser or any of the media players, information is collected about the content and stored in a database. By monitoring all media-related interactions made by the user within the browser, the collected content information can encompass information from a wide range of sources. User-specific profile data is then determined based on the collected data and such user-specific profile data is made available to third parties. The user-specific profile data can be used, for example, for social networking purposes, and may also be used to drive advertisements or other content to the user.

    Interactive sitemap with user footprints

    公开(公告)号:US09727656B2

    公开(公告)日:2017-08-08

    申请号:US13935514

    申请日:2013-07-04

    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.

    Method and system for searching encrypted data

    公开(公告)号:US09715546B1

    公开(公告)日:2017-07-25

    申请号:US15047003

    申请日:2016-02-18

    Applicant: Yahoo! Inc.

    Abstract: The present teaching relates to searching encrypted data. In one example, a search request is received for encrypted documents. An encrypted query is generated based on the search request. The encrypted query is sent to a server that stores a first encrypted index and a second encrypted index. The first encrypted index maps encrypted keywords to full blocks each of which has a same size and is fully filled with encrypted document identities (IDs). The second encrypted index maps encrypted keywords to partial blocks each of which has the same size and is partially filled with encrypted document IDs. Based on the encrypted query, one or more encrypted document IDs are determined by searching against both the first encrypted index and the second encrypted index. A search result is generated based on the one or more encrypted document IDs. The search result is provided in response to the search request.

    Visual recognition using social links

    公开(公告)号:US09710447B2

    公开(公告)日:2017-07-18

    申请号:US14215925

    申请日:2014-03-17

    Applicant: YAHOO! INC.

    CPC classification number: G06F17/241 G06F17/30598 G06K9/00677 G06K9/6296

    Abstract: System, method and architecture for providing improved visual recognition by modeling visual content, semantic content and an implicit social network representing individuals depicted in a collection of content, such as visual images, photographs, etc. which network may be determined based on co-occurrences of individuals represented by the content, and/or other data linking the individuals. In accordance with one or more embodiments, using images as an example, a relationship structure may comprise an implicit structure, or network, determined from co-occurrences of individuals in the images. A kernel jointly modeling content, semantic and social network information may be built and used in automatic image annotation and/or determination of relationships between individuals, for example.

    Computerized System And Method For Augmenting Search Terms For Increased Efficiency And Effectiveness In Identifying Content

    公开(公告)号:US20170193037A1

    公开(公告)日:2017-07-06

    申请号:US14984300

    申请日:2015-12-30

    Applicant: YAHOO! INC.

    CPC classification number: G06Q30/0256

    Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, 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 transform user search keywords into equivalent keyword formats commonly used and/or found within messaging platforms, and compile a data set from such information from which a search for content can be based. The present disclosure, therefore, provides systems and methods that augment users' search terms with terms found in users' mailboxes for purposes of searching for, identifying and communicating content that is relevant to those users.

    QUERY-GOAL-MISSION STRUCTURES
    610.
    发明申请

    公开(公告)号:US20170193020A1

    公开(公告)日:2017-07-06

    申请号:US14984172

    申请日:2015-12-30

    Applicant: Yahoo!, Inc.

    CPC classification number: G06F17/30321 G06F17/30477 G06F17/30598 G06N99/005

    Abstract: One or more systems and/or methods of generating a query-goal-mission structure for a set of queries are provided. A set of queries may be evaluated to identify query information for the queries within the set of queries. The queries may be evaluated as query pairs to determine common goal probabilities (e.g., likelihood two queries correspond to a particular goal, such as to identify vacation planning information) for the query pairs. Responsive to the common goal probabilities for the query pairs exceeding a goal probability threshold, the query pairs may be grouped into goal clusters. The goal clusters may be evaluated as goal cluster pairs to determine common mission probabilities. Responsive to the common mission probabilities for the goal cluster pairs exceeding a mission probability threshold, the goal clusters may be grouped into mission clusters. The mission clusters and the goal clusters may be utilized to generate a query-goal-mission structure.

Patent Agency Ranking