Title :
The research of video resource personalized recommendation system based on education website
Author :
Ying Liang ; Hanrong Chen
Author_Institution :
Coll. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China
Abstract :
Under the circumstance that network education has been more and more universal, educational website resource has developed to the trend of multi-media, the video resources, in particular, more and more widely are used. In order to deal with the problem of overflowing of educational website and video resource, the low efficiency of students in selecting valuable video resource, the author design a collaborative filtering recommendation system based on Apriori algorithm of association rules. The system, based on the users´ habits, time of use and use environment, can analyze, judge and then list the optimal recommended personalized resources.
Keywords :
Web sites; collaborative filtering; computer aided instruction; data mining; multimedia systems; recommender systems; video signal processing; apriori algorithm; association rules; collaborative filtering recommendation system; educational Website resource; multimedia; network education; optimal recommended personalized resources; students efficiency; use environment; use time; user habits; video resource personalized recommendation system; video resources; Collaboration; Computers; Filtering; Testing; Apriori algorithm; collaborative filtering; education website; personalized recommendation;
Conference_Titel :
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4799-2949-8
DOI :
10.1109/ICCSE.2014.6926592
