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» Modeling Preferences in a Distributed Recommender System
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RECSYS
2009
ACM
15 years 4 months ago
Ordering innovators and laggards for product categorization and recommendation
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang
KDD
2009
ACM
305views Data Mining» more  KDD 2009»
15 years 10 months ago
Grocery shopping recommendations based on basket-sensitive random walk
We describe a recommender system in the domain of grocery shopping. While recommender systems have been widely studied, this is mostly in relation to leisure products (e.g. movies...
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-...
100
Voted
KDD
2012
ACM
217views Data Mining» more  KDD 2012»
12 years 12 months ago
Cross-domain collaboration recommendation
Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patte...
Jie Tang, Sen Wu, Jimeng Sun, Hang Su
77
Voted
AH
2004
Springer
15 years 1 months ago
A Learner Model in a Distributed Environment
A learner model must store all the relevant information about a student, including knowledge and attitude. This paper proposes a domain independent learner model based in the class...
Cristina Carmona, Ricardo Conejo
IUI
2003
ACM
15 years 2 months ago
An adaptive stock tracker for personalized trading advice
The Stock Tracker is an adaptive recommendation system for trading stocks that automatically acquires content-based models of user preferences to tailor its buy and sell advice. T...
Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley