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RECSYS
2009
ACM
16 years 21 days ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
TSE
2010
152views more  TSE 2010»
15 years 4 months ago
An Experience in Testing the Security of Real-World Electronic Voting Systems
—Voting is the process through which a democratic society determines its government. Therefore, voting systems are as important as other well-known critical systems, such as air ...
Davide Balzarotti, Greg Banks, Marco Cova, Viktori...
HICSS
2008
IEEE
129views Biometrics» more  HICSS 2008»
16 years 19 days ago
Understanding Development and Usage of Social Networking Sites: The Social Software Performance Model
Social networking sites such as MySpace and Facebook thrive on energetic social interaction, but the factors that assure this are not well understood. There is a lack of theory th...
Catherine Dwyer, Starr Roxanne Hiltz, George Widme...
WWW
2010
ACM
16 years 1 months ago
Context-aware citation recommendation
When you write papers, how many times do you want to make some citations at a place but you are not sure which papers to cite? Do you wish to have a recommendation system which ca...
Qi He, Jian Pei, Daniel Kifer, Prasenjit Mitra, C....
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
15 years 8 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