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ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
15 years 7 months ago
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
Robert M. Bell, Yehuda Koren
CSCW
2002
ACM
15 years 1 months ago
On the recommending of citations for research papers
Collaborative filtering has proven to be valuable for recommending items in many different domains. In this paper, we explore the use of collaborative filtering to recommend resea...
Sean M. McNee, Istvan Albert, Dan Cosley, Prateep ...
JIPS
2007
223views more  JIPS 2007»
15 years 1 months ago
Addressing Mobile Agent Security through Agent Collaboration
: The use of agent paradigm in today’s applications is hampered by the security concerns of agents and hosts alike. The agents require the presence of a secure and trusted execut...
Evens Jean, Yu Jiao, Ali R. Hurson
WWW
2011
ACM
14 years 8 months ago
Pragmatic evaluation of folksonomies
Recently, a number of algorithms have been proposed to obtain hierarchical structures — so-called folksonomies — from social tagging data. Work on these algorithms is in part ...
Denis Helic, Markus Strohmaier, Christoph Trattner...
PAKDD
2009
ACM
135views Data Mining» more  PAKDD 2009»
15 years 8 months ago
On Mining Rating Dependencies in Online Collaborative Rating Networks
The trend of social information processing sees e-commerce and social web applications increasingly relying on user-generated content, such as rating, to determine the quality of o...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang