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IEEEARES
2008
IEEE
15 years 6 months ago
Experimental Demonstration of a Hybrid Privacy-Preserving Recommender System
Recommender systems enable merchants to assist customers in finding products that best satisfy their needs. Unfortunately, current recommender systems suffer from various privacy...
Esma Aïmeur, Gilles Brassard, José Man...
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
15 years 1 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci
COOPIS
2004
IEEE
15 years 3 months ago
Trust-Aware Collaborative Filtering for Recommender Systems
Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replac...
Paolo Massa, Paolo Avesani
STAIRS
2008
169views Education» more  STAIRS 2008»
15 years 1 months ago
Probabilistic Association Rules for Item-Based Recommender Systems
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
Sylvain Castagnos, Armelle Brun, Anne Boyer
SP
2009
IEEE
123views Security Privacy» more  SP 2009»
15 years 6 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...