公开(公告)号：US11042595B2

公开(公告)日：2021-06-22

申请号：US15585967

申请日：2017-05-03

Applicant: eBay Inc.

Inventor： Daniel David Miranda ,  Amit Jaiswal ,  David Goldberg

IPC: G06F16/00 ,  G06F16/9535 ,  H04L29/08 ,  G06F16/838 ,  G06F16/9532 ,  G06F16/903 ,  G06F16/28 ,  G06F16/2457

Abstract: A search engine is configured to return increased diversity results based on past user interactions with search results. For a given query, historical data is analyzed to generate an item score describing a past quantity of users that navigated to a given page of an item. The historical data can further be used to generate a category score describing a past quantity of users that navigated to a given category of items. The category of items can be analyzed to generate a diversity score describing their diversity with respect to each other. Results for the given query can be arranged using items scores, category scores, and diversity scores.

公开(公告)号：US20210271723A1

公开(公告)日：2021-09-02

申请号：US17323261

申请日：2021-05-18

Applicant: eBay Inc.

Inventor： Daniel David Miranda ,  Amit Jaiswal ,  David Goldberg

IPC: G06F16/9535 ,  H04L29/08 ,  G06F16/838 ,  G06F16/9532 ,  G06F16/903 ,  G06F16/28 ,  G06F16/2457

Abstract: A search engine is configured to return search results with increased diversity among the search results. When a query is received from a client device, items are identified as search results for the query and grouped into categories. The categories are also grouped into classes. A user interface is generated with items grouped together by category and categories grouped together by class. The user interface is returned to the client device as a response to the query.

公开(公告)号：US20170323022A1

公开(公告)日：2017-11-09

申请号：US15585967

申请日：2017-05-03

Applicant: eBay Inc.

Inventor： Daniel David Miranda ,  Amit Jaiswal ,  David Goldberg

IPC: G06F17/30 ,  H04L29/08

CPC classification number: G06F16/9535 ,  H04L67/025 ,  H04L67/22 ,  H04L67/306

Abstract: A search engine is configured to return increased diversity results based on past user interactions with search results. For a given query, historical data is analyzed to generate an item score describing a past quantity of users that navigated to a given page of an item. The historical data can further be used to generate a category score describing a past quantity of users that navigated to a given category of items. The category of items can be analyzed to generate a diversity score describing their diversity with respect to each other. Results for the given query can be arranged using items scores, category scores, and diversity scores.