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ENTER
2008
Springer
13 years 6 months ago
Adaptive Recommender Systems for Travel Planning
Conversational recommender systems have been introduced in Travel and Tourism applications in order to support interactive dialogues which assist users in acquiring their goals, e...
Tariq Mahmood, Francesco Ricci, Adriano Venturini,...
15
Voted
AAAI
2007
13 years 7 months ago
Unsupervised Shilling Detection for Collaborative Filtering
Collaborative Filtering systems are essentially social systems which base their recommendation on the judgment of a large number of people. However, like other social systems, the...
Bhaskar Mehta
EDBTW
2004
Springer
13 years 8 months ago
Semantic Web Recommender Systems
Research on recommender systems has primarily addressed centralized scenarios and largely ignored open, decentralized systems where remote information distribution prevails. Absenc...
Cai-Nicolas Ziegler
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
13 years 8 months ago
Group Recommending: A methodological Approach based on Bayesian Networks
The problem of building Recommender Systems has attracted considerable attention in recent years, but most recommender systems are designed for recommending items for individuals....
Luis M. de Campos, Juan M. Fernández-Luna, ...
ECWEB
2009
Springer
119views ECommerce» more  ECWEB 2009»
13 years 9 months ago
Designing a Metamodel-Based Recommender System
Current recommender systems have to cope with a certain reservation because they are considered to be hard to maintain and to give rather schematic advice. This paper presents an a...
Sven Radde, Bettina Zach, Burkhard Freitag
WEBDB
2010
Springer
171views Database» more  WEBDB 2010»
13 years 10 months ago
Improved Recommendations via (More) Collaboration
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to item...
Rubi Boim, Haim Kaplan, Tova Milo, Ronitt Rubinfel...
EWMF
2003
Springer
13 years 10 months ago
Greedy Recommending Is Not Always Optimal
Abstract. Recommender systems suggest objects to users. One form recommends documents or other objects to users searching information on a web site. A recommender system can be use...
Maarten van Someren, Vera Hollink, Stephan ten Hag...
ATAL
2003
Springer
13 years 10 months ago
Recommender systems: a market-based design
Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have ...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
13 years 10 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
SGAI
2004
Springer
13 years 10 months ago
Incremental Critiquing
Conversational recommender systems guide users through a product space, alternatively making concrete product suggestions and eliciting the user’s feedback. Critiquing is a comm...
James Reilly, Kevin McCarthy, Lorraine McGinty, Ba...