News Recommendation in the Wild: CWI's Recommendation Algorithms in the NRS Challenge
Alan Said, Alejandro Bellogín, Arjen P. de Vries · 2013
This work presents the recommendation algorithms deployed by the winning team (recomenders.net) in the ACM RecSys 2013 News Recommender Systems Challenge which ran dur-ing September 2013. The paper introduces concepts related to the challenge, an overview of the challenges related to news article recommendation and the differences to other recommendation domains, e.g. music, movies, etc. as well as gives a brief overview of the Open Recommendation Pro-tocol (ORP) infrastructure used for the challenge. Furthermore, the paper presents the recommendation frame-work and the algorithms implemented by the recommenders.net team in the challenge. Finally, the paper presents the re-sults obtained by the team and discusses the metrics used to crown the winners of the challenge.