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» A Personalized System for Conversational Recommendations
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ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
14 years 3 months ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
ECTEL
2006
Springer
14 years 25 days ago
Finding Communities of Practice from User Profiles Based on Folksonomies
User profiles can be used to identify persons inside a community with similar interests. Folksonomy systems allow users to individually tag the objects of a common set (e.g., web p...
Jörg Diederich, Tereza Iofciu
HT
2009
ACM
14 years 3 months ago
Cross-tagging for personalized open social networking
The Social Web is successfully established and poised for continued growth. Web 2.0 applications such as blogs, bookmarking, music, photo and video sharing systems are among the m...
Avare Stewart, Ernesto Diaz-Aviles, Wolfgang Nejdl...
UM
2010
Springer
13 years 7 months ago
Eye-Tracking Study of User Behavior in Recommender Interfaces
Recommender systems, as a type of Web personalized service to support users’ online product searching, have been widely developed in recent years but with primary emphasis on alg...
Li Chen, Pearl Pu
CSREAEEE
2006
174views Business» more  CSREAEEE 2006»
13 years 10 months ago
Using Temporal Information in Collaborative Filtering: An Empirical Study
- Collaborative filtering is a widely used and proven method of building recommender systems that provide personalized recommendations on products or services based on explicit rat...
Young Park, Tong-Queue Lee