Accuracy Versus Novelty and Diversity in Recommender Systems: A Nonuniform Random Walk Approach
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-14379-8_3
Reference16 articles.
1. Jamali M, Ester M (2009) TrustWalker: a random walk model for combining trust-based and item-based recommendation. In: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. KDD’09, New York, NY, USA, ACM, pp 397–406
2. Abbassi Z, Mirrokni VS (2007) A recommender system based on local random walks and spectral methods. In: Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis. WebKDD/SNA-KDD’07, New York, NY, USA, ACM, pp 102–108
3. Yuan Q, Chen L, Zhao S (2012) Augmenting collaborative recommenders by fusing social relationships: membership and friendship. In: Recommender systems for the social web, vol 32 of Intelligent Systems Reference Library, Springer, Berlin, pp 159–175
4. Zhang Y, Wu Jq, Zhuang Yt (2009) Random walk models for top-n recommendation task. J Zhejiang Univ Sci A 10:927–936
5. Singh AP, Gunawardana A, Meek C, Surendran AC (2007) Recommendations using absorbing random walks. In: North East Student Colloquium on Artificial Intelligence (NESCAI)
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