Cold Start Problem: a Lightweight Approach at ECML/PKDD 2011 - Discovery Challenge.
Leo Iaquinta, Giovanni Maria Semeraro · CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) · 2012
Abstract. The paper presents our participation [5] at the ECML/PKDD 2011- Discovery challenge for the task on the cold start problem. The challenge dataset was gathered from VideoLectures.Net web site that exploits a Recommender System (RS) to guide users during the access to its large multimedia repository of video lectures. Cold start concerns performance issues when new items and new users should be handled by a RS and it is commonly associated with pure collaborative filteringbased RSs. The proposed approach exploits the challenge data to predict the frequencies of pairs of cold items and old items and then the highest values are used to provide recommendations. 1