Invention Grant
- Patent Title: Methods and systems for ranking search results via implicit query driven active learning
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Application No.: US15160743Application Date: 2016-05-20
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Publication No.: US10970289B2Publication Date: 2021-04-06
- Inventor: Tommaso Teofili , Michael Marth
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06F16/2457
- IPC: G06F16/2457 ; G06F16/248

Abstract:
Certain embodiments involve ranking search results from an information retrieval system using user query data to provide relevant search results to users of the information retrieval system. For example, a system determines a weight factor associated with a first user that provides a query to the information retrieval system based on a type or role of the first user. The system further determines a boost factor associated with the first user based on the weight factor and a number of consecutive search queries provided by the user. The system uses the boost factor to automatically tune a ranking algorithm to adjust a rank of a search result item resulting from a search query provided by a second user.
Public/Granted literature
- US20170337200A1 METHODS AND SYSTEMS FOR RANKING SEARCH RESULTS VIA IMPLICIT QUERY DRIVEN ACTIVE LEARNING Public/Granted day:2017-11-23
Information query