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ICDIM
2010
IEEE
10 years 8 months ago
Social network collaborative filtering framework and online trust factors: A case study on Facebook
Recommender systems have been proposed to exploit the potential of social network by filtering the information and offer recommendations to a user that he is predicted to like. Co...
Wei Chen, Simon Fong
JUCS
2010
97views more  JUCS 2010»
10 years 8 months ago
Usage-based Object Similarity
: Recommender systems are widely used online to support users in finding relevant information. They can be based on different techniques such as content-based and collaborative ...
Katja Niemann, Maren Scheffel, Martin Friedrich, U...
ICWE
2010
Springer
10 years 8 months ago
Automated Generation of Itineraries in Recommender Systems for Tourism
Current recommender systems can support tourists in choosing travel products (accommodation, activities, means of transport, etc.), in planning long trips, and in profitably spendi...
Pierpaolo Di Bitonto, Francesco Di Tria, Maria Lat...
CIKM
2010
Springer
10 years 8 months ago
Building recommendation systems using peer-to-peer shared content
Peer-to-Peer (p2p) networks are used for sharing content by millions of users. Often, meta-data used for searching is missing or wrong, making it difficult for users to find cont...
Yuval Shavitt, Ela Weinsberg, Udi Weinsberg
VLDB
2002
ACM
193views Database» more  VLDB 2002»
10 years 10 months ago
REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex
Automated recommendation (e.g., personalized product recommendation on an ecommerce web site) is an increasingly valuable service associated with many databases--typically online ...
Dan Cosley, Steve Lawrence, David M. Pennock
CORR
2002
Springer
131views Education» more  CORR 2002»
10 years 10 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...
UMUAI
2008
111views more  UMUAI 2008»
10 years 10 months ago
Mediation of user models for enhanced personalization in recommender systems
Abstract. Provision of personalized recommendations to users requires accurate modeling of their interests and needs. This paper proposes a general framework and specific methodolo...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
TSMC
2008
109views more  TSMC 2008»
10 years 10 months ago
Providing Justifications in Recommender Systems
Abstract--Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload" problem. Providing justification to a re...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
ISCI
2007
74views more  ISCI 2007»
10 years 10 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...
SIGIR
2008
ACM
10 years 10 months ago
Hierarchical naive bayes models for representing user profiles
In this paper, we show how a user profile can be enhanced when a more detailed description of the products is included. Two main assumptions have been considered: the first implie...
Juan F. Huete, Luis M. de Campos, Juan M. Fern&aac...
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