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» Fuzzy Ranking Model Based on User Preference
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IAT
2007
IEEE
13 years 8 months ago
Similarity-Based Fuzzy Clustering for User Profiling
User profiling is a fundamental task in Web personalization. Fuzzy clustering is a valid approach to derive user profiles by capturing similar user interests from web usage data a...
Giovanna Castellano, Anna Maria Fanelli, Corrado M...
CIKM
2008
Springer
13 years 10 months ago
SHOPSMART: product recommendations through technical specifications and user reviews
This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products....
Alexander Yates, James Joseph, Ana-Maria Popescu, ...
CIKM
2009
Springer
14 years 3 months ago
Post-rank reordering: resolving preference misalignments between search engines and end users
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Chao Liu, Mei Li, Yi-Min Wang
SIGIR
2008
ACM
13 years 8 months ago
EigenRank: a ranking-oriented approach to collaborative filtering
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
Nathan Nan Liu, Qiang Yang
DLOG
2008
13 years 11 months ago
Fuzzy Description Logics for Bilateral Matchmaking in e-Marketplaces
We present a novel Fuzzy Description Logic (DL) based approach to automate matchmaking in e-marketplaces. We model traders' preferences with the aid of Fuzzy DLs and, given a ...
Azzurra Ragone, Umberto Straccia, Fernando Bobillo...