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» Providing Justifications in Recommender Systems
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RECSYS
2010
ACM
13 years 7 months ago
Recommending twitter users to follow using content and collaborative filtering approaches
Recently the world of the web has become more social and more real-time. Facebook and Twitter are perhaps the exemplars of a new generation of social, real-time web services and w...
John Hannon, Mike Bennett, Barry Smyth
ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
13 years 11 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
CIKM
2005
Springer
14 years 1 months ago
Feature-based recommendation system
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems—a personalized information filtering technology use...
Eui-Hong Han, George Karypis
SEKE
2005
Springer
14 years 1 months ago
Javawock: A Java Class Recommender System Based on Collaborative Filtering
- Many software development platforms provide a large number of library components to make it easy to build high quality software. On the other hand, it became more and more diffic...
Masateru Tsunoda, Takeshi Kakimoto, Naoki Ohsugi, ...
ECWEB
2010
Springer
163views ECommerce» more  ECWEB 2010»
13 years 8 months ago
Social Networks as Data Source for Recommendation Systems
Abstract. Reviews and review based rankings are widely used in recommendation systems to provide potential customers quality information about selected products. During the last ye...
Mathias Bank, Juergen Franke