公开(公告)号：US11809501B2

公开(公告)日：2023-11-07

申请号：US14586462

申请日：2014-12-30

Applicant: eBay Inc.

Inventor： Chandra Khatri ,  Steven Hui Luan ,  Michael Tanaka ,  Praveen K. Boinapalli

IPC: G06F16/9535 ,  G06Q30/02

CPC classification number: G06F16/9535 ,  G06Q30/02

Abstract: One or more of the systems, apparatuses, or methods discussed herein can include a quality score for a plurality of item listings or collections of item listings. Data sparseness can be avoided, as the quality score is based on inherent properties of the listing. An item listing can be recommended to a user based on the quality score. In one or more embodiments, a method can include determining a plurality of quality scores including a quality score for each of a plurality of item listings or a plurality of collections of item listings, the quality scores determined independent of a user's attributes and independent of the user's contextual information, the contextual information corresponding to details of the user's access to a website, and recommending an item listing or collection of item listings to a user based on the quality scores and the contextual information.

公开(公告)号：US20240028658A1

公开(公告)日：2024-01-25

申请号：US18479754

申请日：2023-10-02

Applicant: eBay Inc.

Inventor： Chandra Khatri ,  Steven Hui Luan ,  Michael Tanaka ,  Praveen K. Boinapalli

IPC: G06F16/9535 ,  G06Q30/02

CPC classification number: G06F16/9535 ,  G06Q30/02

Abstract: One or more of the systems, apparatuses, or methods discussed herein can include a quality score for a plurality of item listings or collections of item listings. Data sparseness can be avoided, as the quality score is based on inherent properties of the listing. An item listing can be recommended to a user based on the quality score. In one or more embodiments, a method can include determining a plurality of quality scores including a quality score for each of a plurality of item listings or a plurality of collections of item listings, the quality scores determined independent of a user's attributes and independent of the user's contextual information, the contextual information corresponding to details of the user's access to a website, and recommending an item listing or collection of item listings to a user based on the quality scores and the contextual information.