Lightweight Approach to the Cold Start Problem in the Video Lecture Recommendation

Discovery Challenge Workshop 2011.

工业技术;计算机科学

Leo Iaquinta ; Giovanni Semeraro

Others  :  http://ceur-ws.org/Vol-770/paper9.pdf
PID  :  42261

来源: CEUR

【 摘 要 】

In this paper we present our participation as SWAPTeam at the ECML/PKDD 2011 - Discovery challenge for the task on the cold start problem focused on making recommendations for new video lectures. The main idea is to use a content-based approach because it is less sensitive to the cold start problem that is commonly associated with pure collaborative filtering recommenders. The strategy for the integration by hybridization and the scalability performance affect the developed components.