Time-evolution of IPTV recommender systems

Abstract

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. The analysis has been performed on the datasets collected by two IPTV providers. Both datasets have been implicitly collected by analyzing the pay-per-view movies… (More)
DOI: 10.1145/1809777.1809801

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Cite this paper

@inproceedings{Cremonesi2010TimeevolutionOI, title={Time-evolution of IPTV recommender systems}, author={Paolo Cremonesi and Roberto Turrin}, year={2010} }