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CSCW
1998
ACM
15 years 2 months ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
AAAI
2004
14 years 11 months ago
Exploring More Realistic Evaluation Measures for Collaborative Filtering
Collaborative filtering is a popular technique for recommending items to people. Several methods for collaborative filtering have been proposed in the literature and the quality o...
Giuseppe Carenini, Rita Sharma
IMECS
2007
14 years 11 months ago
Investigation for Designing of Context-Aware Recommendation System Using SVM
Abstract Previously, we have proposed two recommendation systems, the Context-aware Information Filtering (C-IF) and Context-aware Collaborative Filtering (C-CF), both of which ar...
Kenta Oku, Shinsuke Nakajima, Jun Miyazaki, Shunsu...
AH
2008
Springer
15 years 4 months ago
RSS-Based Interoperability for User Adaptive Systems
This paper presents an approach to exploit widely used tag annotations to address two important issues in user-adaptive systems: the cold-start problem and the integration of distr...
Yiwen Wang, Federica Cena, Francesca Carmagnola, O...
MOBISYS
2011
ACM
14 years 19 days ago
TagSense: a smartphone-based approach to automatic image tagging
Mobile phones are becoming the convergent platform for personal sensing, computing, and communication. This paper attempts to exploit this convergence towards the problem of autom...
Chuan Qin, Xuan Bao, Romit Roy Choudhury, Srihari ...