Invention Grant
- Patent Title: Personalized news recommendation engine
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Application No.: US15797775Application Date: 2017-10-30
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Publication No.: US10747833B2Publication Date: 2020-08-18
- Inventor: Fei Xiao , Christopher Li , Zhou Xing , Marzieh Parandehgheibi , Christopher F. Pouliot , Nilesh V. Kulkarni , Abhishek Singhal , Edward H. Baik , Lisa E. Falkson
- Applicant: NIO USA, Inc.
- Applicant Address: US CA San Jose
- Assignee: NIO USA, Inc.
- Current Assignee: NIO USA, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Sheridan Ross P.C.
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/9535 ; G06F40/30 ; G06F40/279

Abstract:
A network crawler crawls one or more media sites to extract a plurality of titles for information contained in the one or more media sites. For example, the network crawler may extract the titles on the one or more media sites by identifying different computer formats and converting the titles in the different computer formats into a common computer format for comparison. User profiles which, includes user's interest are stored in a user profile interest database. A novel personalized news recommendation engine recommends news similar to the interest specified in a user profile, where maximum weighted matching is applied to score the similarity of news against user interest in the word2vec space.
Public/Granted literature
- US20190130038A1 NOVEL PERSONALIZED NEWS RECOMMENDATION ENGINE Public/Granted day:2019-05-02
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