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AINA
2009
IEEE
15 years 4 months ago
Do Metrics Make Recommender Algorithms?
Recommender systems are used to suggest customized products to users. Most recommender algorithms create collaborative models by taking advantage of web user profiles. In the las...
Elica Campochiaro, Riccardo Casatta, Paolo Cremone...
RECSYS
2009
ACM
15 years 6 months ago
Applying relevant set correlation clustering to multi-criteria recommender systems
This thesis investigates application of clustering to multi-criteria ratings as a method of improving the precision of top-N recommendations. With the advent of ecommerce sites th...
Nkechi Nnadi
IAT
2008
IEEE
15 years 6 months ago
An Enhanced Similarity Measure for Utilizing Site Structure in Web Personalization Systems
The need for recommendation systems to ease user navigations has become evident by growth of information on the Web. There exist many approaches of learning for Web usage-based re...
Shaghayegh Sahebi, Farhad Oroumchian, Ramtin Khosr...
CORR
2002
Springer
131views Education» more  CORR 2002»
14 years 11 months ago
A Connection-Centric Survey of Recommender Systems Research
Recommender systems attempt to reduce information overload and retain customers by selecting a subset of items from a universal set based on user preferences. While research in rec...
Saverio Perugini, Marcos André Gonça...
WWW
2008
ACM
16 years 13 days ago
Feature weighting in content based recommendation system using social network analysis
We propose a hybridization of collaborative filtering and content based recommendation system. Attributes used for content based recommendations are assigned weights depending on ...
Souvik Debnath, Niloy Ganguly, Pabitra Mitra