Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models

Author:

Alexandridis GeorgiosORCID,Siolas Georgios,Stafylopatis Andreas

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference35 articles.

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2. Alexandridis G, Siolas G, Stafylopatis A (2013) Improving social recommendations by applying a personalized item clustering policy. In: Proceedings of the fifth ACM RecSys workshop on recommender systems and the social web co-located with the 7th ACM conference on recommender systems (RecSys 2013), Hong Kong, China, 13 Oct 2013. http://ceur-ws.org/Vol-1066/Paper1

3. Alexandridis G, Siolas G, Stafylopatis A (2015) Accuracy versus novelty and diversity in recommender systems: a nonuniform random walk approach. In: Ulusoy O, Tansel AU, Arkun E (eds) Recommendation and search in social networks, lecture notes in social networks. Springer, Berlin, pp 41–57. doi: 10.1007/978-3-319-14379-8_3

4. Alpaydin E (2014) Introduction to machine learning, third, 3rd edn. MIT Press, Cambridge

5. Bellogin A, Cantador I, Diez F, Castells Chavarriaga E (2011) An empirical comparison of social, collaborative filtering, and hybrid recommenders. ACM TIST 4:14

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