Invention Grant
- Patent Title: NLP-based content recommender
- Patent Title (中): 基于NLP的内容推荐器
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Application No.: US12288349Application Date: 2008-10-16
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Publication No.: US08700604B2Publication Date: 2014-04-15
- Inventor: Neil Roseman , Jisheng Liang , Krzysztof Koperski , Korina J Stark , Navdeep S Dhillon , Diana J Schwend , Jose Hernando
- Applicant: Neil Roseman , Jisheng Liang , Krzysztof Koperski , Korina J Stark , Navdeep S Dhillon , Diana J Schwend , Jose Hernando
- Applicant Address: US WA Seattle
- Assignee: Evri, Inc.
- Current Assignee: Evri, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Lowe Graham Jones PLLC
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
Public/Granted literature
- US20090150388A1 NLP-based content recommender Public/Granted day:2009-06-11
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