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COOPIS
2004
IEEE
13 years 11 months ago
Trust-Aware Collaborative Filtering for Recommender Systems
Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replac...
Paolo Massa, Paolo Avesani
JDCTA
2010
150views more  JDCTA 2010»
13 years 2 months ago
A Knowledge Recommend System Based on User Model
The content and searching method of knowledge base are lack of the consideration of user requirements, it is difficult for the user to select the knowledge satisfy with the user r...
Jiagen Sheng, Sifeng Liu
UM
2007
Springer
14 years 2 months ago
Feature-Weighted User Model for Recommender Systems
Recommender systems are gaining widespread acceptance in e-commerce applications to confront the “information overload” problem. Collaborative Filtering (CF) is a successful re...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
RECSYS
2009
ACM
14 years 2 months ago
Harnessing the power of "favorites" lists for recommendation systems
We propose a novel collaborative recommendation approach to take advantage of the information available in user-created lists. Our approach assumes associations among any two item...
Maryam Khezrzadeh, Alex Thomo, William W. Wadge
AH
2006
Springer
13 years 11 months ago
A Comparative Study of Compound Critique Generation in Conversational Recommender Systems
Abstract. Critiquing techniques provide an easy way for users to feedback their preferences over one or several attributes of the products in a conversational recommender system. W...
Jiyong Zhang, Pearl Pu