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» Trust in recommender systems
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SP
2009
IEEE
123views Security Privacy» more  SP 2009»
16 years 1 months ago
DSybil: Optimal Sybil-Resistance for Recommendation Systems
Recommendation systems can be attacked in various ways, and the ultimate attack form is reached with a sybil attack, where the attacker creates a potentially unlimited number of s...
Haifeng Yu, Chenwei Shi, Michael Kaminsky, Phillip...
ICDE
2011
IEEE
225views Database» more  ICDE 2011»
14 years 10 months ago
Methods for boosting recommender systems
—Online shopping has grown rapidly over the past few years. Besides the convenience of shopping directly from ones home, an important advantage of e-commerce is the great variety...
Rubi Boim, Tova Milo
KDD
2004
ACM
187views Data Mining» more  KDD 2004»
16 years 6 months ago
Mission-Based Navigational Behaviour Modeling for Web Recommender Systems
Web recommender systems anticipate the information needs of on-line users and provide them with recommendations to facilitate and personalize their navigation. There are many appro...
Osmar R. Zaïane, Jia Li, Robert Hayward
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 6 months ago
Overcoming Incomplete User Models in Recommendation Systems Via an Ontology
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
Vincent Schickel-Zuber, Boi Faltings
IADIS
2003
15 years 7 months ago
Prediction Strategies in a TV Recommender System - Method and Experiments
Predicting the interests of a user in information is an important process in personalized information systems. In this paper, we present a way to create prediction engines that al...
Mark van Setten, Mettina Veenstra, Anton Nijholt, ...