Invention Grant
- Patent Title: Data flow based feature vector clustering
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Application No.: US15229956Application Date: 2016-08-05
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Publication No.: US10592535B2Publication Date: 2020-03-17
- Inventor: Yong-Yeol Ahn , Azadeh Nematzadeh Chekuvar , Ian Benjamin Wood , Jaehyuk Park , Yizhi Jing , Michael David Conover
- 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: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F16/2457
- IPC: G06F16/2457 ; G06F16/28 ; H04L29/08 ; G06F16/901 ; G06F16/9535 ; G06Q50/00 ; G06Q30/02

Abstract:
Methods and systems for generating tailored user interface presentations based on microindustry clustering. According to various embodiments, the system accesses a set of entity profiles and a set of member profiles. The system determines a set of feature vectors for each entity of the set of entity profiles and identifies a set of movement data representing changes in association of one or more members from a first entity to a second entity. The system generates an entity graph for the set of entities and the set of members. The systems generate a first set of clusters in the entity graph, a second set of clusters by partitioning one or more of the first clusters, and a set of third clusters from the set of second clusters, combining one or more of the second clusters.
Public/Granted literature
- US20180039688A1 DATA FLOW BASED FEATURE VECTOR CLUSTERING Public/Granted day:2018-02-08
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