Article recommendation method and apparatus, computer device, and storage medium

    公开(公告)号:US11763145B2

    公开(公告)日:2023-09-19

    申请号:US16945066

    申请日:2020-07-31

    CPC classification number: G06N3/08 A61B5/165 G06F18/2155 G06N5/022 G06V40/20

    Abstract: This application provides an article recommendation method and apparatus, a computer device, and a storage medium. The method includes: obtaining a historical reading article set of a to-be-analyzed target user, the historical reading article set comprising a plurality of historical articles that have been read by the target user at different reading moments; determining, for each historical article of the plurality of historical articles, first attention degree values between the each historical article and candidate reference historical articles having reading moments before that of the each historical article, the first attention degree values reflecting a possibility that a user is recommended to read the historical article if the user has read the candidate reference historical articles; selecting at least one recommendation reference article from the candidate reference historical articles corresponding to the historical articles according to the first attention degree values between the historical articles and corresponding candidate reference historical articles; and determining, in a recommendable article set at least one candidate recommended article to be recommended to the target user based on the at least one recommendation reference article.

    Content recommendation method and apparatus, electronic device, and storage medium

    公开(公告)号:US11893071B2

    公开(公告)日:2024-02-06

    申请号:US17726048

    申请日:2022-04-21

    CPC classification number: G06F16/9536 G06F16/9535 G06N3/045 H04L67/535

    Abstract: This application provides a content recommendation method and apparatus, an electronic device, and a storage medium. The content recommendation method includes obtaining content feedback information of a target object and content feature information of content that is to be recommended in response to a content recommendation request of the target object, the content feedback information comprising explicit feedback information and implicit feedback information and object portrait information of the target object; performing feature interaction according to the explicit feedback information and the implicit feedback information in the content feedback information, and obtaining behavior preference information; performing feature extraction based on the behavior preference information, the content feedback information, and the content feature information, and obtaining a predicted click-through rate (CTR); and determining, according to the predicted CTR, recommended content from the pieces of content that is to be recommended, and transmitting the recommended content to a terminal device.

    Search result ranking method and device

    公开(公告)号:US11537624B2

    公开(公告)日:2022-12-27

    申请号:US15988908

    申请日:2018-05-24

    Abstract: Embodiments of the present invention disclose a result ranking method and device. The method includes: acquiring search key-information by using an interaction application, and searching a prestored interaction data set for at least one search result associated with the search key-information; ranking the at least one search result according to a quality assessment score corresponding to each of the at least one search result; and outputting the ranked at least one search result. The quality assessment score corresponding to each search result is a value generated according to a number of historical operations performed on each search result and an interactive influence score of an application identifier performing a historical operation on each search result.

    RESOURCE PUSHING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20220284327A1

    公开(公告)日:2022-09-08

    申请号:US17725429

    申请日:2022-04-20

    Abstract: This application discloses a resource pushing method performed by a computer device. The method includes: obtaining a target recommendation model and a preference feature and a candidate resource set corresponding to a target object, the preference feature including at least a channel preference feature and a content preference feature; obtaining at least one target resource from the candidate resource set based on the target recommendation model and the preference feature; and pushing the at least one target resource to the target object. Such a resource pushing process integrates preferences of the target object in different dimensions, so that the target resource pushed to the target object not only conforms to channel preferences of the target object, but also conforms to content references of the target object, which is beneficial to improving the resource pushing effect, and further increasing the click-through rates (CTRs) of the pushed resources.

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