公开(公告)号：US20240054552A1

公开(公告)日：2024-02-15

申请号：US18260768

申请日：2021-01-08

Applicant: eBay Inc

Inventor： Yuyangzi FU ,  Xueyuan JIANG ,  Zihao JIANG ,  Jingying WANG ,  Kaikai TONG

IPC: G06Q30/0601 ,  G06F16/9535

CPC classification number: G06Q30/0641 ,  G06Q30/0627 ,  G06F16/9535

Abstract: Computer information retrieval by automatically marking at least a first item listing, of a first set of item listings, as a candidate for removal as a search result for a query. Such automatic marking occurs in response to receiving an indication that a selection has been made at a computing device, where the selection is at least partially indicative of the user requesting removal, from a set of search results, of a first item listing based on a particular attribute value associated with the first item listing.

公开(公告)号：US20230394549A1

公开(公告)日：2023-12-07

申请号：US17830641

申请日：2022-06-02

Applicant: eBay Inc.

Inventor： Shuya LI ,  Yi YU ,  Yuyangzi FU

IPC: G06Q30/06 ,  G06F16/9535 ,  G06F16/9032

CPC classification number: G06Q30/0631 ,  G06F16/90328 ,  G06F16/9535

Abstract: A recommendation system leverages multi-target search to provide item listing recommendations and/or query suggestions. For a given input image with multiple objects, multi-target search uses object detection to detect each object, and stores complementary object data associating each object from the image. Additionally, a search of an item listing datastore is performed using each object from the image as a search query. Based on item listings returned as search results, complementary item listings data associating item listings is stored. In some configurations, the complementary item listings data is also used to train a machine learning model to predict complementary item listings for a given item listing. When an input item listing is received, item listing recommendations and/or query suggestions are determined for the input item listing using the complementary object data, the complementary item listing data, and/or the machine learning model.