SYSTEMS AND METHODS FOR RECOMMENDING SOFTWARE BASED ON USER SIMILARITY

    公开(公告)号:US20170287048A1

    公开(公告)日:2017-10-05

    申请号:US15472474

    申请日:2017-03-29

    Abstract: Systems and methods for determining software recommendations for a user. A first application list of applications installed on a user's computer is received. A distribution score is determined for each application in the first application list. A set of least distributed applications is determined based on the distribution score. A similarity score is determined for each user in a set of users having one or more applications of the set of least distributed applications installed on their respective systems. A second list of applications is determined based on applications installed by users in the set of users having a similarity score above a threshold. Recommendations for applications in the first list of applications are determined based, at least in part, on typicality scores for the applications.

    CLOUD BASED REPUTATION SYSTEM FOR BROWSER SETTINGS
    4.
    发明申请
    CLOUD BASED REPUTATION SYSTEM FOR BROWSER SETTINGS 审中-公开
    用于浏览器设置的基于云的报告系统

    公开(公告)号:US20160103929A1

    公开(公告)日:2016-04-14

    申请号:US14879892

    申请日:2015-10-09

    CPC classification number: G06F17/2247 G06F9/44505 G06F21/57

    Abstract: A method and apparatus for an automated classification and reset of browser settings is provided. A set of disreputable browser setting values is maintained based on statistics associated with the browser setting values. In response to determining that an attempt is made to set a browser setting to a value in the set of disreputable browser setting values, a notification can be presented to the user. The notification can include options in a set of reputable browser settings.

    Abstract translation: 提供了一种用于自动分类和重置浏览器设置的方法和装置。 基于与浏览器设置值相关联的统计信息来维护一组不正确的浏览器设置值。 为了响应于确定尝试将浏览器设置设置为一组不正确的浏览器设置值中的值,可以向用户呈现通知。 该通知可以包括一组信誉良好的浏览器设置中的选项。

    Systems and methods for recommending software based on user similarity

    公开(公告)号:US10672056B2

    公开(公告)日:2020-06-02

    申请号:US15472474

    申请日:2017-03-29

    Abstract: Systems and methods for determining software recommendations for a user. A first application list of applications installed on a user's computer is received. A distribution score is determined for each application in the first application list. A set of least distributed applications is determined based on the distribution score. A similarity score is determined for each user in a set of users having one or more applications of the set of least distributed applications installed on their respective systems. A second list of applications is determined based on applications installed by users in the set of users having a similarity score above a threshold. Recommendations for applications in the first list of applications are determined based, at least in part, on typicality scores for the applications.

    NETWORK ATTACK PREVENTION SYSTEMS AND METHODS

    公开(公告)号:US20230291751A1

    公开(公告)日:2023-09-14

    申请号:US17691930

    申请日:2022-03-10

    CPC classification number: H04L63/1408 G06F16/955 H04L41/16

    Abstract: A system and method for preventing access to potentially malicious network destinations. The method includes determining a plurality of network destinations and indicators of the plurality of network destinations including an indicator of a first network destination. A plurality of feature vectors are generated based on the plurality of network destinations including a first feature vector based on the first network destination. Access by a user via a computing device to a second network destination is detected. A second feature vector is generated, and an indicator is determined based on the second network destination. The second feature vector is compared to the plurality of feature vectors. The access by the user to the second network destination is blocked based on the indicator of the first network destination, the indicator of the second network destination, and the comparison of the second feature vector to the plurality of feature vectors.

    Cloud based reputation system for browser settings

    公开(公告)号:US10346518B2

    公开(公告)日:2019-07-09

    申请号:US14879892

    申请日:2015-10-09

    Abstract: A method and apparatus for an automated classification and reset of browser settings is provided. A set of disreputable browser setting values is maintained based on statistics associated with the browser setting values. In response to determining that an attempt is made to set a browser setting to a value in the set of disreputable browser setting values, a notification can be presented to the user. The notification can include options in a set of reputable browser settings.

Patent Agency Ranking