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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 6 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
AH
2006
Springer
15 years 3 months ago
eDAADe: An Adaptive Recommendation System for Comparison and Analysis of Architectural Precedents
We built a Web-based adaptive recommendation system for students to select and suggest architectural cases when they analyze "Case Study" work within the architectural de...
Shu-Feng Pan, Ji-Hyun Lee
ICWS
2009
IEEE
14 years 9 months ago
WSRec: A Collaborative Filtering Based Web Service Recommender System
As the abundance of Web services on the World Wide Web increase, designing effective approaches for Web service selection and recommendation has become more and more important. In...
Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King
OHS
2001
Springer
15 years 4 months ago
METIOREW: An Objective Oriented Content Based and Collaborative Recommending System
The size of Internet has been growing very fast and many documents appear every day in the Net. Users find many problems to obtain the information that they really need. In order t...
David Bueno, Ricardo Conejo, Amos David
UM
2005
Springer
15 years 5 months ago
An Economic Model of User Rating in an Online Recommender System
Abstract. Economic modeling provides a formal mechanism to understand user incentives and behavior in online systems. In this paper we describe the process of building a parameteri...
F. Maxwell Harper, Sherry Xin Li, Yan Chen, Joseph...