- Patent Title: Extracting and surfacing contextually relevant topic descriptions
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Application No.: US17163421Application Date: 2021-01-30
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Publication No.: US11461339B2Publication Date: 2022-10-04
- Inventor: Vipindeep Vangala , Ranganath Kondapally , Beethika Tripathi , Madan Gopal Jhanwar , Jimish Bhayani , Daraksha Parveen , Priyam Bakliwal , Pankaj Vasant Khanzode
- 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
- Agency: Newport IP, LLC
- Agent Jacob P. Rohwer
- Main IPC: G06F16/2457
- IPC: G06F16/2457 ; G06N20/00

Abstract:
Techniques for extracting and ranking multiple topic descriptions based on source contexts and subsequently selecting individual topic descriptions to surface based on recipient contexts. More specifically, a mining platform may extract, from a set of source documents making up a corpus, topic descriptions for various topics that are relevant to an enterprise. The mining platform may further rank the extracted topic descriptions based on a source context of those documents from which individual topic descriptions are extracted. Subsequently, when users access enterprise documents including term-usage instances of topics for which one or more topic descriptions have been extracted and ranked, a description serving module may select a topic description that is contextually appropriate for a recipient view the enterprise documents.
Public/Granted literature
- US20220245159A1 EXTRACTING AND SURFACING CONTEXTUALLY RELEVANT TOPIC DESCRIPTIONS Public/Granted day:2022-08-04
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