The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 14, 2019
Filed:
Dec. 06, 2013
Peking University Founder Group Co., Ltd., Beijing, CN;
Founder Apabi Technology Limited, Beijing, CN;
Peking University, Beijing, CN;
Mao Ye, Beijing, CN;
Jianbo Xu, Beijing, CN;
Zhi Tang, Beijing, CN;
Lifeng Jin, Beijing, CN;
Yuanlong Wang, Beijing, CN;
PEKING UNIVERSITY FOUNDER GROUP CO. LTD., Beijing, CN;
FOUNDER APABI TECHNOLOGY LIMITED, Beijing, CN;
PEKING UNIVERSITY, Beijing, CN;
Abstract
A method and system for key knowledge point recommendation are provided, the method comprising calculating knowledge point relationship strengths of knowledge points in a set of knowledge points; calculating weights for knowledge points according to the knowledge point relationship strengths of knowledge points in the set of knowledge points, and storing the knowledge points and weights correspondingly; determining key knowledge points according to the weights of the knowledge points and recommending the key knowledge points to a user. With this solution, knowledge point relationship strengths are obtained through calculating knowledge point relationship strengths of knowledge points in a set of knowledge points; and recommendation is given to the user for learning knowledge according to knowledge point relationship strengths, so as to help the user to learn key knowledge points selectively in a more objective and effective manner, and avoid problems of information recommendation based on fuzzy logical information recommendation technology.