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» Providing Justifications in Recommender Systems
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JCDL
2005
ACM
95views Education» more  JCDL 2005»
14 years 1 months ago
Link prediction approach to collaborative filtering
Recommender systems can provide valuable services in a digital library environment, as demonstrated by its commercial success in book, movie, and music industries. One of the most...
Zan Huang, Xin Li, Hsinchun Chen
PVLDB
2010
102views more  PVLDB 2010»
13 years 6 months ago
SQL QueRIE Recommendations
This demonstration presents QueRIE, a recommender system that supports interactive database exploration. This system aims at assisting non-expert users of scientific databases by...
Javad Akbarnejad, Gloria Chatzopoulou, Magdalini E...
RECSYS
2009
ACM
14 years 2 months ago
An incentive-based architecture for social recommendations
We present an incentive-based architecture for providing recommendations in a social network. We maintain a distinct reputation system for each individual and we rely on users to ...
Rajat Bhattacharjee, Ashish Goel, Konstantinos Kol...
RECSYS
2010
ACM
13 years 7 months ago
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
Alexandros Karatzoglou, Xavier Amatriain, Linas Ba...
EWCBR
2004
Springer
14 years 1 months ago
Dynamic Critiquing
Abstract. Critiquing is a powerful style of feedback for case-based recommender systems. Instead of providing detailed feature values, users indicate a directional preference for a...
James Reilly, Kevin McCarthy, Lorraine McGinty, Ba...