Invention Grant
- Patent Title: Rank query results for relevance utilizing external context
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Application No.: US15248004Application Date: 2016-08-26
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Publication No.: US10769156B2Publication Date: 2020-09-08
- Inventor: Michael Taylor , Torbjorn Helvik , Oystein Fledsberg , Lars Hagen
- Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
- Applicant Address: US WA Redmond
- Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee Address: US WA Redmond
- Main IPC: G06F16/2457
- IPC: G06F16/2457 ; G06F16/22 ; G06F16/9535 ; G06F16/951

Abstract:
Users are most likely to search for documents “around” them, such as documents which are created, read, or modified by other users they work closely or collaborate with, documents on sites the user frequents, and/or documents trending around them, in addition to documents they've created or interacted with themselves. Therefore, embodiments are directed to relevance ranking of query results based on external context. A search service may receive a query and an external context list, determine a relevance value for each entry in the external context list, and perform the query, where a search index comprising items may be returned in response to performance of the query. The search service may then match entries in the external context list against associated properties of the items, compute a score for the items based on the matching, and rank results of the query based on the score computed for the items.
Public/Granted literature
- US20180060325A1 RANK QUERY RESULTS FOR RELEVANCE UTILIZING EXTERNAL CONTEXT Public/Granted day:2018-03-01
Information query