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RECSYS
2009
ACM
15 years 4 months 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
ICALT
2008
IEEE
15 years 4 months ago
Interaction Analysis as a Multi-Support Approach of Social Computing for Learning, in the "Collaborative Era": Lessons Learned b
Apparently computer technology is shifting its focus, with individual users not being the main target any more. The evolution of Web 2.0 technologies is promoting the development ...
Tharrenos Bratitsis, Angelique Dimitracopoulou
CSCW
2012
ACM
13 years 5 months ago
Recommending routes in the context of bicycling: algorithms, evaluation, and the value of personalization
Users have come to rely on automated route finding services for driving, public transit, walking, and bicycling. Current state of the art route finding algorithms typically rely...
Reid Priedhorsky, David Pitchford, Shilad Sen, Lor...
GROUP
2007
ACM
15 years 1 months ago
Searching for experts in the enterprise: combining text and social network analysis
Employees depend on other people in the enterprise for rapid access to important information. But current systems for finding experts do not adequately address the social implicat...
Kate Ehrlich, Ching-Yung Lin, Vicky Griffiths-Fish...
BPM
2008
Springer
188views Business» more  BPM 2008»
14 years 11 months ago
Social Software for Modeling Business Processes
Abstract. The aim of this paper is to show how the use of social networks may help users to behave as modelers they trust. Users are guided in this respect within the context of an...
Agnes Koschmider, Minseok Song, Hajo A. Reijers