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WEBI
2010
Springer
13 years 6 months ago
Reducing the Cold-Start Problem in Content Recommendation through Opinion Classification
Like search engines, recommender systems have become a tool that cannot be ignored by websites with a large selection of products, music, news or simply webpages links. The perform...
Damien Poirier, Françoise Fessant, Isabelle...
IUI
2003
ACM
14 years 2 months ago
An adaptive stock tracker for personalized trading advice
The Stock Tracker is an adaptive recommendation system for trading stocks that automatically acquires content-based models of user preferences to tailor its buy and sell advice. T...
Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley
UM
2009
Springer
14 years 3 months ago
What Have the Neighbours Ever Done for Us? A Collaborative Filtering Perspective
Collaborative filtering (CF) techniques have proved to be a powerful and popular component of modern recommender systems. Common approaches such as user-based and item-based metho...
Rachael Rafter, Michael P. O'Mahony, Neil J. Hurle...
SIGIR
2008
ACM
13 years 8 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang
ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
14 years 22 days 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