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RECSYS
2009
ACM
14 years 9 days ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
CORR
2011
Springer
184views Education» more  CORR 2011»
13 years 24 days ago
Stationary distribution and cover time of random walks on random digraphs
We study properties of a simple random walk on the random digraph Dn,p when
Colin Cooper, Alan M. Frieze
KDD
2007
ACM
143views Data Mining» more  KDD 2007»
14 years 6 months ago
Mining Research Communities in Bibliographical Data
Abstract. Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden informa...
Osmar R. Zaïane, Jiyang Chen, Randy Goebel
WWW
2008
ACM
14 years 6 months ago
Trust-based recommendation systems: an axiomatic approach
High-quality, personalized recommendations are a key feature in many online systems. Since these systems often have explicit knowledge of social network structures, the recommenda...
Reid Andersen, Christian Borgs, Jennifer T. Chayes...
SIGIR
2009
ACM
14 years 8 days ago
On social networks and collaborative recommendation
Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
Ioannis Konstas, Vassilios Stathopoulos, Joemon M....