Levels of competency in an online community

    公开(公告)号:US10389679B2

    公开(公告)日:2019-08-20

    申请号:US16152107

    申请日:2018-10-04

    Applicant: Adobe Inc.

    Abstract: Techniques and systems are described to determine levels of competency of users as part of an online community and control generation of subsequent digital content to be used interaction of the online community with the users based on this determination. In one example, determination of the level of competency is based on relevance to topics of the online community. In another example, a determination is made as to whether the topic of the online community is stable before using user competency scores to control generation of subsequent digital content. In a further example, users of the online community are identified as exhibiting dormant or non-dormant behavior and used as a basis to control generation of subsequent digital content. In yet another example, user competency scores are adjusted based on a decay factor to address dormancy of users over a period of time.

    Expanding input content utilizing previously-generated content

    公开(公告)号:US10733359B2

    公开(公告)日:2020-08-04

    申请号:US15248675

    申请日:2016-08-26

    Applicant: ADOBE INC.

    Abstract: Systems and methods provide for expanding user-provided content. User-provided input content is received via a user interface. Content that is relevant to the user-provided input content is identified from a repository of previously-generated content. The identified relevant content is divided into content sub-segments. From the content sub-segments, one or more pieces of candidate content are identified based on each content sub-segment's relevance to the received input content. At least one piece of identified candidate content is provided for display. A selection of one or more pieces of identified candidate content is received, such that the selected piece(s) of identified candidate content is appended to the received input content, thereby expanding the user-provided content.

Patent Agency Ranking