Techniques for personalizing app store recommendations

    公开(公告)号:US11853306B2

    公开(公告)日:2023-12-26

    申请号:US16147058

    申请日:2018-09-28

    Applicant: Apple Inc.

    Abstract: Disclosed herein is a technique for providing software application recommendations to a user of a computing device. The technique can include: (1) receiving, from the computing device, a request for at least one software application recommendation, (2) identifying, among a plurality of user profiles, a user profile associated with the user, (3) accessing a plurality of software application profiles (SAPs), wherein each SAP of the plurality of SAPs is associated with a respective software application managed by the server computing device, (4) analyzing the user profile against a subset of the plurality of SAPs to identify, among the respective software applications associated with the subset of the plurality of SAPs, at least one software application to recommend, (5) associating the at least one software application recommendation with the at least one software application, and (6) causing the computing device to display the at least one software application recommendation.

    Lyric search service
    2.
    发明授权

    公开(公告)号:US11573998B2

    公开(公告)日:2023-02-07

    申请号:US17445189

    申请日:2021-08-16

    Applicant: Apple Inc.

    Abstract: This application relates to a client-server architecture that enables search queries to be applied to transcription information for multimedia files. A server device implements a service configured to query a search platform to retrieve results associated with a plurality of multimedia files stored in a content database. The results are ordered according to a plurality of heuristic values calculated based on a text relevance analysis. The service is configured to modify the heuristic values to adjust an order of the results, and generate a response to a search request that includes a representation of at least a portion of the transcription information of the multimedia files referenced by the results. The heuristic values are modified based on at least one of a popularity score for a corresponding multimedia file, a weight associated with a particular field, or a relevance score based on feedback signals.

    GENERATION OF DATA FOR A DENDROGRAMMATIC TREE DATA STRUCTURE
    3.
    发明申请
    GENERATION OF DATA FOR A DENDROGRAMMATIC TREE DATA STRUCTURE 审中-公开
    生物数据结构的数据生成

    公开(公告)号:US20160092556A1

    公开(公告)日:2016-03-31

    申请号:US14502291

    申请日:2014-09-30

    Applicant: Apple Inc.

    CPC classification number: G06F16/319 G06F16/38 G06F16/50 G06F16/632 G06F16/73

    Abstract: Methods and systems which can be used to create data for one or more nodes of a tree data structure by searching through another data structure containing, for example, metadata that describes digital assets such as apps (applications) available through an app store.

    Abstract translation: 可以通过搜索包含例如描述数字资产的元数据(例如通过应用商店可用的应用程序)的元数据的另一数据结构来搜索树数据结构的一个或多个节点来创建数据的方法和系统。

    Lyric search service
    4.
    发明授权

    公开(公告)号:US11106722B2

    公开(公告)日:2021-08-31

    申请号:US16257986

    申请日:2019-01-25

    Applicant: Apple Inc.

    Abstract: This application relates to a client-server architecture that enables search queries to be applied to transcription information for multimedia files. A server device implements a service configured to query a search platform to retrieve results associated with a plurality of multimedia files stored in a content database. The results are ordered according to a plurality of heuristic values calculated based on a text relevance analysis. The service is configured to modify the heuristic values to adjust an order of the results, and generate a response to a search request that includes a representation of at least a portion of the transcription information of the multimedia files referenced by the results. The heuristic values are modified based on at least one of a popularity score for a corresponding multimedia file, a weight associated with a particular field, or a relevance score based on feedback signals.

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