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» On bootstrapping recommender systems
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ETRICS
2006
13 years 9 months ago
Do You Trust Your Recommendations? An Exploration of Security and Privacy Issues in Recommender Systems
Recommender systems are widely used to help deal with the problem of information overload. However, recommenders raise serious privacy and security issues. The personal information...
Shyong K. Lam, Dan Frankowski, John Riedl
IDEAL
2004
Springer
13 years 11 months ago
Learning Users' Interests in a Market-Based Recommender System
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
ICDE
2007
IEEE
110views Database» more  ICDE 2007»
14 years 3 days ago
Embedding Emotional Context in Recommender Systems
Emotional context is becoming a promising paradigm to develop more intuitive and sensitive recommender systems. Ambient Recommender Systems, arise from the analysis of new trends ...
Gustavo González, Josep Lluís de la ...
ADAPTIVE
2007
Springer
13 years 12 months ago
Content-Based Recommendation Systems
This chapter discusses content-based recommendation systems, i.e., systems that recommend an item to a user based upon a description of the item and a profile of the user’s inter...
Michael J. Pazzani, Daniel Billsus
ICWE
2005
Springer
13 years 11 months ago
Automatic Optimization of Web Recommendations Using Feedback and Ontology Graphs
Abstract. Web recommendation systems have become a popular means to improve the usability of web sites. This paper describes the architecture of a rulebased recommendation system a...
Nick Golovin, Erhard Rahm