Invention Grant
US09177044B2 Discovering and scoring relationships extracted from human generated lists
有权
从人类生成列表中提取的发现和评分关系
- Patent Title: Discovering and scoring relationships extracted from human generated lists
- Patent Title (中): 从人类生成列表中提取的发现和评分关系
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Application No.: US13332623Application Date: 2011-12-21
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Publication No.: US09177044B2Publication Date: 2015-11-03
- Inventor: Kasian Franks , Mike Muldoon , Raf Podowski
- Applicant: Kasian Franks , Mike Muldoon , Raf Podowski
- Applicant Address: US CA Sunnyvale
- Assignee: Intertrust Technologies Corporation
- Current Assignee: Intertrust Technologies Corporation
- Current Assignee Address: US CA Sunnyvale
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner, LLP)
- Main IPC: G06F17/21
- IPC: G06F17/21 ; G06F17/30

Abstract:
A computer-implemented system and method for extracting Human Generated Lists from an electronic database is described. The system searches for objects of the same class within a context window to identify Human Generated Lists and stores them to an archive, The archive may be used to generate a relationship network. The system generates variable length data vectors to represent the relationships between the objects within each Human Generated List. This relationship network can then be queried to discover relationships between the objects in the Human Generated Lists and to provide related objects as recommendations.
Public/Granted literature
- US20120197890A1 DISCOVERING AND SCORING RELATIONSHIPS EXTRACTED FROM HUMAN GENERATED LISTS Public/Granted day:2012-08-02
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