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» Using Temporal Data for Making Recommendations
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RECSYS
2010
ACM
14 years 9 months ago
Eye-tracking product recommenders' usage
Recommender systems have emerged as an effective decision tool to help users more easily and quickly find products that they prefer, especially in e-commerce environments. However...
Sylvain Castagnos, Nicolas Jones, Pearl Pu
TIME
2005
IEEE
15 years 3 months ago
An XML-Based Framework for Temporal Database Implementation
This paper presents an XML-based approach to implementing the parametric model of temporal databases. In the parametric model, attribute values are functions of time and the entir...
Seo-Young Noh, Shashi K. Gadia
92
Voted
WISE
2005
Springer
15 years 3 months ago
A Web Recommendation Technique Based on Probabilistic Latent Semantic Analysis
Web transaction data between Web visitors and Web functionalities usually convey user task-oriented behavior pattern. Mining such type of clickstream data will lead to capture usag...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
SIGIR
2005
ACM
15 years 3 months ago
An industrial-strength content-based music recommendation system
We present a metadata free system for the interaction with massive collections of music, the MusicSurfer. MusicSurfer automatically extracts descriptions related to instrumentatio...
Pedro Cano, Markus Koppenberger, Nicolas Wack
SAC
2008
ACM
14 years 9 months ago
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
Karen H. L. Tso-Sutter, Leandro Balby Marinho, Lar...