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IJCAI
2003
13 years 10 months ago
Improving the Performance of Recommender Systems That Use Critiquing
Personalization actions that tailor the Web experience to a particular user are an integral component of recommender systems. Here, product knowledge - either hand-coded or “mine...
Lorraine McGinty, Barry Smyth
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
14 years 3 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis
DL
1999
Springer
111views Digital Library» more  DL 1999»
14 years 1 months ago
TalkMine and the Adaptive Recommendation Project
TalkMine is an adaptive recommendation system which is both content-based and collaborative, and further allows the crossover of information among multiple databases searched by u...
Luis Mateus Rocha
FLAIRS
2004
13 years 10 months ago
In-Depth Analysis of Similarity Knowledge and Metric Contributions to Recommender Performance
Initial successes in the area of recommender systems have led to considerable early optimism. However as a research community, we are still in the early days of our understanding ...
Derry O'Sullivan, Barry Smyth, David C. Wilson
RECSYS
2009
ACM
14 years 3 months ago
Learning to recommend with trust and distrust relationships
With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in th...
Hao Ma, Michael R. Lyu, Irwin King