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.
Lightweight Approach to the Cold Start Problem in the Video Lecture Recommendation
SEMERARO, Giovanni
2011-01-01
Abstract
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.File in questo prodotto:
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