Abstract
This paper presents research on social news recommendation at the biggest social network Facebook. The recommendation strategies which are used are based on content and social trust as the trust is selected as more reliable for recommendation. In order the news to get old in time a decay factor for the score is proposed. Both offline and online evaluation are made as the feedbacks shows that users find the application interesting and useful.
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Chechev, M., Koychev, I. (2014). Social News Feed Recommender. In: Agre, G., Hitzler, P., Krisnadhi, A.A., Kuznetsov, S.O. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2014. Lecture Notes in Computer Science(), vol 8722. Springer, Cham. https://doi.org/10.1007/978-3-319-10554-3_4
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DOI: https://doi.org/10.1007/978-3-319-10554-3_4
Publisher Name: Springer, Cham
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