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Research
alansaid edited this page Jul 16, 2017
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RiVal was created as a research tool and has been used in the following scientific publications.
Do you use RiVal in your work? Let us know!
- A Deep Architecture for Content-based Recommendations Exploiting Recurrent Neural Networks. A. Suglia, C. Greco, C. Musto, M. de Gemmis, P. Lops, G. Semeraro. UMAP 2017
- Ask Me Any Rating: A Content-based Recommender System based on Recurrent Neural Networks. C. Musto, C. Greco, A. Suglia, G. Semeraro. Italian Information Retrieval Workshop (2016)
- Empirical study of the behavior of several Recommender System methods on SAPO Videos. G. Oliveira. MSc. Thesis (2015)
- Replicable Evaluation of Recommender Systems. A. Said, A. Bellogín. RecSys 2015.
- Transparency-less recommender system evaluation leads to misleading results. A. Said, A. Bellogín. TinyToCS 3 (2015)
- Predicting User Engagement in Twitter with Collaborative Ranking. E. Diaz-Aviles, H. T. Lam, F. Pinelli, S. Braghin, Y. Gkoufas, M. Berlingerio, F. Calabrese. RecSysChallenge 2014.
- RiVal: A New Benchmarking Toolkit for Recommender Systems. A. Said, A. Bellogín. ERCIM News 99, 2014.
- RiVal – A Toolkit to Foster Reproducibility in Recommender System Evaluation. A. Said, A. Bellogín. RecSys 2014.
- Comparative Recommender System Evaluation: Benchmarking Recommendation Frameworks. A. Said, A. Bellogín. RecSys 2014.