Invention Grant
- Patent Title: Click-through prediction for targeted content
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Application No.: US15178381Application Date: 2016-06-09
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Publication No.: US10657556B1Publication Date: 2020-05-19
- Inventor: Yue Lu , Parag Agrawal , Cheng Li , Sandeep Pandey , Michael Jahr , Jeremy Ginsberg
- Applicant: Twitter, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Twitter, Inc.
- Current Assignee: Twitter, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Smith Baluch LLP
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06N20/00

Abstract:
In some examples, a computing device includes at least one processor and at least one module, operable by the at least one processor to receive, from a client device of a user, a request for one or more advertisements to display at the client device with a set of messages. The set of messages is associated with the user in a social network messaging service. The at least one module may be further operable to determine a probability that the user will select a candidate advertisement using a machine learning model based on point-wise learning and pair-wise learning. The at least one module may be further operable to determine, based on the probability that the user will select the candidate advertisement, a candidate score for the candidate advertisement, determine that the candidate score satisfies a threshold, and send, for display at the client device, the candidate advertisement.
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