Invention Grant
- Patent Title: Content-free system and method to recommend news and articles
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Application No.: US17302090Application Date: 2021-04-23
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Publication No.: US11748435B2Publication Date: 2023-09-05
- Inventor: Alka Dagar , Ratheen Chaturvedi
- Applicant: S&P Global Inc.
- Applicant Address: US NY New York
- Assignee: S&P Global Inc.
- Current Assignee: S&P Global Inc.
- Current Assignee Address: US NY New York
- Agency: Yee & Associates, P.C.
- Main IPC: G06F16/9535
- IPC: G06F16/9535 ; G06F16/957 ; G06N20/00 ; G06F16/951

Abstract:
A computer-implemented method of recommending information sources is provided. The method comprising collecting raw user log data of a browser user and transforming the raw user log data to remove data that is specific to the user, wherein the transformed user log data comprises only general pages visited. A number of key page mappings are appended to the transformed user log data. A machine learning model determines a user interaction function according to the transformed user log data and generates a number of web page recommendations, wherein each web page recommendation has a respective probability of engagement based on the user interaction function. The web page recommendations are then displayed to the user on an interface.
Public/Granted literature
- US20220342945A1 Content-Free System and Method to Recommend News and Articles Public/Granted day:2022-10-27
Information query