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EWMF
2003
Springer
14 years 6 days ago
Semantically Enhanced Collaborative Filtering on the Web
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...
Bamshad Mobasher, Xin Jin, Yanzan Zhou
ISCI
2007
74views more  ISCI 2007»
13 years 6 months ago
One-and-only item recommendation with fuzzy logic techniques
act 11 Recommender systems anticipate users’ needs by suggesting items that are likely to interest them. Most existing systems 12 employ collaborative filtering (CF) techniques,...
Chris Cornelis, Jie Lu, Xuetao Guo, Guanquang Zhan...
COOP
2004
13 years 8 months ago
Backdoor Creativity: Collaborative Creativity in Technology Supported Teams
This case study describes collaborative creativity in technology-supported teams with the task of making an interactive artefact. The teams work in the iLounge, which is designed a...
Hillevi Sundholm, Henrik Artman, Robert Ramberg
DNIS
2007
Springer
132views Database» more  DNIS 2007»
13 years 11 months ago
LEASE: An Economic Approach to Leasing Data Items in Mobile-P2P Networks to Improve Data Availability
Abstract. This work proposes LEASE, a novel Mobile-P2P lease-based economic incentive model, in which data requestors need to pay the price (in virtual currency) of their requested...
Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsur...
ICWSM
2009
13 years 4 months ago
A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items
A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...
Patricia Victor, Chris Cornelis, Martine De Cock, ...