Invention Grant
- Patent Title: Identifying content items in response to a text-based request
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Application No.: US16998398Application Date: 2020-08-20
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Publication No.: US11544317B1Publication Date: 2023-01-03
- Inventor: Nikil Pancha , Andrew Huan Zhai , Charles Joseph Rosenberg
- Applicant: Pinterest, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Pinterest, Inc.
- Current Assignee: Pinterest, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Athorus, PLLC
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/483 ; G06N20/00 ; G06F16/44 ; G06F16/45 ; G06F40/56

Abstract:
Systems and methods for responding to a subscriber's text-based request for content items are presented. In response to a request from a subscriber, word pieces are generated from the text-based terms of the request. A request embedding vector of the word pieces is obtained from a trained machine learning model. Using the request embedding vector, a set of content items, from a corpus of content items, is identified. At least some content items of the set of content items are returned to the subscriber in response to the text-based request for content items.
Information query