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» Feature-Weighted User Model for Recommender Systems
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UM
2007
Springer
13 years 11 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...
ICCBR
2009
Springer
13 years 11 months ago
Quality Enhancement Based on Reinforcement Learning and Feature Weighting for a Critiquing-Based Recommender
Personalizing the product recommendation task is a major focus of research in the area of conversational recommender systems. Conversational case-based recommender systems help use...
Maria Salamó, Sergio Escalera, Petia Radeva
WWW
2008
ACM
14 years 5 months 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
AMR
2007
Springer
143views Multimedia» more  AMR 2007»
13 years 11 months ago
User Modelling for Interactive User-Adaptive Collection Structuring
Abstract. Automatic structuring is one means to ease access to document collections, be it for organization or for exploration. Of even greater help would be a presentation that ad...
Andreas Nürnberger, Sebastian Stober
SIGIR
2012
ACM
11 years 7 months ago
BReK12: a book recommender for K-12 users
Ideally, students in K-12 grade levels can turn to book recommenders to locate books that match their interests. Existing book recommenders, however, fail to take into account the...
Maria Soledad Pera, Yiu-Kai Ng