COMPUTERIZED SYSTEM AND METHOD FOR MODIFYING A MESSAGE TO APPLY SECURITY FEATURES TO THE MESSAGE'S CONTENT

    公开(公告)号:US20170195274A1

    公开(公告)日:2017-07-06

    申请号:US14985844

    申请日:2015-12-31

    Applicant: YAHOO! INC.

    Abstract: Disclosed are systems and methods for improving interactions with and between computers in content providing, generating and/or hosting 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 security and quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide added security features and functionality to messaging platforms. Message content within communicated or to be communicated messages can be subject to such security functionality through the identification of selected message portions having an identifier applied therewith that not only hides the selected message portions from being viewed within a message interface, but also modifies the message thereby rendering the selected message portion as unreadable and/or inaccessible by a user or computing device without the required security credentials.

    MOBILE SEARCHES UTILIZING A QUERY-GOAL-MISSION STRUCTURE

    公开(公告)号:US20170193057A1

    公开(公告)日:2017-07-06

    申请号:US14984357

    申请日:2015-12-30

    Applicant: Yahoo!, Inc.

    Abstract: One or more client devices, systems, and/or methods of improving mobile searches are provided. A feature (e.g., “snow boots”), generated on a client device, is identified. The feature is evaluated to identify a goal (e.g., finding snow boots) associated with the feature. A mission (e.g., finding outdoor apparel), associated with the goal, is identified. A query (e.g., “outdoor stores near Akron”) associated with a second goal (e.g., find outdoor apparel store) associated with the mission is identified using a model generated utilizing a machine learning method trained using a query-goal-mission structure. A query recommendation (e.g., “outdoor apparel store”) comprising the query is presented to the user. A user satisfaction metric, associated with the query, the query recommendation, a result generated by the query recommendation, etc. is determined based upon user interaction with the query recommendation and the result. The model may be tuned based upon the user satisfaction metric.

    SYSTEM AND METHOD FOR USER MODEL BASED ON APP BEHAVIOR

    公开(公告)号:US20170185901A1

    公开(公告)日:2017-06-29

    申请号:US14982997

    申请日:2015-12-29

    Applicant: Yahoo! Inc.

    CPC classification number: H04L67/22 G06F16/00 G06F16/9535 G06N5/04 H04L67/20

    Abstract: Systems and methods are provided for building a user model. The system includes a processor and a non-transitory storage medium accessible to the processor. The processor is configured to obtain user data from a database, where the user data include user behavior for a plurality of apps installed on one or more user terminals. The processor selects at least one rating parameters using the user data, where the at least one rating parameters indicates a rating of relevant app usage. The system builds the user model based on a rating matrix comprising the at least one rating parameters.

    Automatically generated comparison polls

    公开(公告)号:US09684908B2

    公开(公告)日:2017-06-20

    申请号:US14449390

    申请日:2014-08-01

    Applicant: Yahoo!, Inc.

    CPC classification number: G06Q30/02

    Abstract: A content item presented to a user may involve two or more topics, such as news articles mentioning athletes or actors. Users may enjoy expressing opinions about a comparison of the topics, such as personal preferences or an evaluation of talent. Presented herein are techniques for automatically generating, for the content item, a poll among the topics of the content item. The respective comparisons of a comparison set are evaluated for the topics of the content item, and a comparison relevance score is computed identifying the relevance of the comparison of the topics. The comparison having the highest relevance for the topics is selected, and a comparison question is formulated and presented to the user with the content item. Results may be tabulated and presented for the topics of the content item. These techniques facilitate user expression about the content item without depending upon user-authored polls for each content item.

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