Methods and systems for client side search ranking improvements

    公开(公告)号:US11294911B2

    公开(公告)日:2022-04-05

    申请号:US15860597

    申请日:2018-01-02

    Applicant: Apple Inc.

    Abstract: Methods and systems for client side search ranking improvements are disclosed. In one example, a search query is received from a user on a client device. The local search results are filtered based on the received search query and one or more local ranking rules. Features for each filtered local search result are computed. The computed features of each filtered local search result are input to one or more machine learning (ML) models. Each ML model can generate a score for each filtered local search result. The filtered local search results are ranked based on the generated score within a category. In one example, local search results and remote server search results are obtained. The local search results and remote server search results are ranked using at least one machine learning (ML) ranking model. The ranked local search results and remote server search results are displayed on the client device by category.

    METHODS AND SYSTEMS FOR CLIENT SIDE SEARCH RANKING IMPROVEMENTS

    公开(公告)号:US20190102397A1

    公开(公告)日:2019-04-04

    申请号:US15860597

    申请日:2018-01-02

    Applicant: Apple Inc.

    Abstract: Methods and systems for client side search ranking improvements are disclosed. In one example, a search query is received from a user on a client device. The local search results are filtered based on the received search query and one or more local ranking rules. Features for each filtered local search result are computed. The computed features of each filtered local search result are input to one or more machine learning (ML) models. Each ML model can generate a score for each filtered local search result. The filtered local search results are ranked based on the generated score within a category. In one example, local search results and remote server search results are obtained. The local search results and remote server search results are ranked using at least one machine learning (ML) ranking model. The ranked local search results and remote server search results are displayed on the client device by category.

    SYSTEMS AND METHODS FOR BUILDING AN ON-DEVICE TEMPORAL WEB INDEX FOR USER CURATED/PREFERRED WEB CONTENT

    公开(公告)号:US20180349498A1

    公开(公告)日:2018-12-06

    申请号:US15721162

    申请日:2017-09-29

    Applicant: Apple Inc.

    Abstract: A method and apparatus of a device that indexes donatable content from a network site is described. In an exemplary embodiment, the device receives a requested document, where the requested document includes a plurality of tags. In addition, the device detects a donatable tag in the plurality tags that indicates the network site includes donatable content. In response to the detecting, the device sends a request for the donatable content to the network site. Furthermore, the device receives the donatable content from the network site. The device additionally indexes the donatable content into an on-device search index, where at least some of the index donatable content is further returned as a search result for an on-device search.

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