Invention Grant
- Patent Title: Methods and systems using linear expressions for machine learning models to rank search results
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Application No.: US15802161Application Date: 2017-11-02
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Publication No.: US10891295B2Publication Date: 2021-01-12
- Inventor: Saravana Kumar Siva Kumaran , Kevin Hsu , Hua Ouyang , Ling Wang
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Jaffery Watson Mendonsa & Hamilton LLP
- Main IPC: G06F16/2457
- IPC: G06F16/2457 ; G06F17/12 ; G06N20/00 ; G06F16/951 ; G06N5/00

Abstract:
Methods and systems are disclosed using linear expressions for machine learning (ML) models for ranking search results. In one example, a method for a computer trains a ML model into a decision tree for ranking search results. The decision tree is converted into a linear expression including Boolean terms. The linear expression is transmitted to one or more search computers that use the linear expression to rank search results for a search query. According to another example, a method for a computer having a search engine includes receiving a linear expression including Boolean terms representing a decision tree. The search engine processes a search query and uses the linear expression to rank search results for the search query.
Public/Granted literature
- US20180349382A1 METHODS AND SYSTEMS USING LINEAR EXPRESSIONS FOR MACHINE LEARNING MODELS TO RANK SEARCH RESULTS Public/Granted day:2018-12-06
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