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IADIS
2003
15 years 1 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, ...
RECSYS
2009
ACM
15 years 6 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...
WAIM
2005
Springer
15 years 5 months ago
Research Paper Recommender Systems: A Subspace Clustering Approach
Researchers from the same lab often spend a considerable amount of time searching for published articles relevant to their current project. Despite having similar interests, they c...
Nitin Agarwal, Ehtesham Haque, Huan Liu, Lance Par...
UM
2010
Springer
15 years 5 months ago
A Study on User Perception of Personality-Based Recommender Systems
Our previous research indicates that using personality quizzes is a viable and promising way to build user profiles to recommend entertainment products. Based on these findings, ...
Rong Hu, Pearl Pu
WWW
2009
ACM
16 years 16 days ago
Buzz-based recommender system
In this paper, we describe a buzz-based recommender system based on a large source of queries in an eCommerce application. The system detects bursts in query trends. These bursts ...
Nish Parikh, Neel Sundaresan