ContentWise Product Documents

• ContentWise BrochureFast and easy. Contentwise in a nutshell.
• ContentWise Overview PresentationAn in-depth overview of ContentWise recommendation capabilities, features, architecture.

Case Study

• A Recommender System for an IPTV Service ProviderFastweb, ContentWise client and a major IPTV provider, boosts its revenues thanks to ContentWise adoption as the recommendation engine solution for TV services. “ContentWise produces a 15% lift in VOD sales.”

Technical Papers

• Analysis of Cold-Start Recommendations in IPTV SystemsIn this paper we evaluate the performance of different collaborative algorithms in cold-start situations, where the initial lack of ratings may affect the quality of the algorithms.
• Time-evolution of IPTV Recommender Systems In this paper we evaluate the performance of different collaborative filtering algorithms over time, where new users, new items, and new ratings are constantly added to the recommender dataset.
• Do Metrics Make Recommender Algorithms?In this paper we compare different aspects of the official Netflix contest methodology and we show, with case studies, that different evaluation methodologies lead to contrasting conclusions about recommendations quality.
• An Evaluation Methodology for Collaborative Recommender SystemsIn this paper we propose an evaluation methodology for collaborative filtering (CF) algorithms. This methodology carries out a clear, guided and repeatable evaluation of a CF algorithm.