- 专利标题: AUTOMATIC SEGMENTATION OF A COLLECTION OF USER PROFILES
-
申请号: US15859554申请日: 2017-12-31
-
公开(公告)号: US20180240042A1公开(公告)日: 2018-08-23
- 发明人: Jason W. Boada , Sophia Krasikov , Harini Srinivasan , Aditya Vempaty
- 申请人: International Business Machines Corporation
- 主分类号: G06N99/00
- IPC分类号: G06N99/00 ; H04L29/08 ; G06F17/30 ; G06F17/11 ; G06F17/18
摘要:
A method for generating an output comprising one or more segments includes obtaining a plurality of profiles derived from unstructured data associated with a plurality of users, wherein a given one of the profiles corresponds to a respective one of the users; repetitively executing at least one machine learning technique on the plurality of profiles, each execution producing a respective set of one or more segments from the plurality of profiles; generating a complete graph by performing pairwise comparisons between sets of segments from respective executions; applying at least one persistency graph algorithm to the complete graph to find one or more coherent clusters comprising one or more segments that are persistent across the repetitive executions of the machine learning technique; and producing the output at least in part by selecting at least one of the segments from at least one of the coherent clusters.
公开/授权文献
- US11106999B2 Automatic segmentation of a collection of user profiles 公开/授权日:2021-08-31
信息查询