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ENTER
2008
Springer
13 years 11 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,...
WIDM
2005
ACM
14 years 3 months ago
Preventing shilling attacks in online recommender systems
Collaborative filtering techniques have been successfully employed in recommender systems in order to help users deal with information overload by making high quality personalize...
Paul-Alexandru Chirita, Wolfgang Nejdl, Cristian Z...
DMIN
2007
183views Data Mining» more  DMIN 2007»
13 years 11 months ago
Crawling Attacks Against Web-based Recommender Systems
—User profiles derived from Web navigation data are used in important e-commerce applications such as Web personalization, recommender systems, and Web analytics. In the open en...
Runa Bhaumik, Robin D. Burke, Bamshad Mobasher
SIGKDD
2008
138views more  SIGKDD 2008»
13 years 9 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl
CORR
2007
Springer
90views Education» more  CORR 2007»
13 years 9 months ago
Recommender System for Online Dating Service
Abstract. Users of online dating sites are facing information overload that requires them to manually construct queries and browse huge amount of matching user profiles. This beco...
Lukas Brozovsky, Vaclav Petricek