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WIDM
2005
ACM
13 years 10 months ago
Preventing shilling attacks in online recommender systems
Collaborative filtering techniques have been successfully employed in recommender systems in order to help users deal with information overload by making high quality personalize...
Paul-Alexandru Chirita, Wolfgang Nejdl, Cristian Z...
SAC
2006
ACM
13 years 10 months ago
A privacy preserving web recommender system
In this paper we propose a recommender system that helps users to navigate though the Web by providing dynamically generated links to pages that have not yet been visited and are ...
Ranieri Baraglia, Claudio Lucchese, Salvatore Orla...
HICSS
2006
IEEE
99views Biometrics» more  HICSS 2006»
13 years 10 months ago
A Framework for Automatic Online Personalization
Inexpensive data collection and storage technologies and a global thirst for information have led to data repositories so large that users may become disoriented and unable to loc...
Paul Ralph, Jeff Parsons
GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
13 years 10 months ago
Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thiem...
ATAL
2007
Springer
13 years 10 months ago
An agent-based approach for privacy-preserving recommender systems
Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an ess...
Richard Cissée, Sahin Albayrak
ADAPTIVE
2007
Springer
13 years 10 months ago
Case-Based Recommendation
Abstract. Data Mining, or Knowledge Discovery as it is also known, is becoming increasingly useful in a wide variety of applications. In the following paper, we look at its use in ...
Barry Smyth
ADAPTIVE
2007
Springer
13 years 10 months ago
Recommendation to Groups
Abstract. Recommender systems have traditionally recommended items to individual users, but there has recently been a proliferation of recommenders that address their recommendatio...
Anthony Jameson, Barry Smyth
ICDE
2007
IEEE
130views Database» more  ICDE 2007»
13 years 11 months ago
A Survey of Explanations in Recommender Systems
This paper provides a comprehensive review of explanations in recommender systems. We highlight seven possible advantages of an explanation facility, and describe how existing mea...
Nava Tintarev, Judith Masthoff
ICDE
2007
IEEE
110views Database» more  ICDE 2007»
13 years 11 months 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 ...
HICSS
2007
IEEE
135views Biometrics» more  HICSS 2007»
13 years 11 months ago
Extending the Applicability of Recommender Systems: A Multilayer Framework for Matching Human Resources
Recommender Systems (RS) so far have been applied to many fields of e-commerce in order to assist users in finding the products that best meet their preferences. However, while th...
Tobias Keim