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RECSYS
2009
ACM
15 years 6 months ago
Learning to recommend helpful hotel reviews
User-generated reviews are a common and valuable source of product information, yet little attention has been paid as to how best to present them to end-users. In this paper, we d...
Michael P. O'Mahony, Barry Smyth
SIGDIAL
2010
14 years 9 months ago
Utilizing Review Summarization in a Spoken Recommendation System
In this paper we present a framework for spoken recommendation systems. To provide reliable recommendations to users, we incorporate a review summarization technique which extract...
Jingjing Liu, Stephanie Seneff, Victor Zue
WIDM
2005
ACM
15 years 5 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...
SIGKDD
2008
138views more  SIGKDD 2008»
14 years 11 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
DMIN
2007
183views Data Mining» more  DMIN 2007»
15 years 1 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