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The wisdom of the few: a collaborative filtering approach based on expert opinions from the web.

, , , , and . SIGIR, page 532-539. ACM, (2009)

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Divide and Conquer: Partitioning Online Social Networks, , and . CoRR, (2009)Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media, , , , and . PLOS ONE, 7 (1): e29358+ (Jan 11, 2012)Collaborative Filtering With Adaptive Information Sources, , and . (2009)Explores ways of adding "external" rating sources from experts in order to improve collaborative filtering results. Nearest neighbors does not seem to be always the optimal choice..Emergence of Complex Networks through Local Optimization., , , and . ECAI, page 48-52. IOS Press, (2004)Collaborative Filtering With Adaptive Information Sources (Short Paper)., , and . ITWP, volume 528 of CEUR Workshop Proceedings, CEUR-WS.org, (2009)Scaling Online Social Networks without Pains, , , and . NetDB 2009, 5th International Workshop on Networking Meets Databases, co-located with SOSP 2009, (October 2009)The Role of Clustering on the Emergence of Efficient Social Conventions., , , and . IJCAI, page 965-970. Professional Book Center, (2005)On Exploiting Agent Technology in the Design of Peer-to-Peer Applications., , and . AP2PC, volume 3601 of Lecture Notes in Computer Science, page 98-107. Springer, (2004)Extracting reputation in multi agent systems by means of social network topology., , and . AAMAS, page 467-474. ACM, (2002)I Like It... I Like It Not: Evaluating User Ratings Noise in Recommender Systems., , and . UMAP, volume 5535 of Lecture Notes in Computer Science, page 247-258. Springer, (2009)