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BCSHCI
2007
13 years 9 months ago
"The devil you know knows best": how online recommendations can benefit from social networking
The defining characteristic of the Internet today is an abundance of information and choice. Recommender Systems (RS), designed to alleviate this problem, have so far not been ver...
Philip Bonhard, Martina Angela Sasse, Clare Harrie...
CORR
2002
Springer
132views Education» more  CORR 2002»
13 years 7 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure
ESWA
2002
134views more  ESWA 2002»
13 years 7 months ago
A personalized recommender system based on web usage mining and decision tree induction
A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been...
Yoon Ho Cho, Jae Kyeong Kim, Soung Hie Kim
RECSYS
2009
ACM
14 years 2 months ago
TagiCoFi: tag informed collaborative filtering
Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide...
Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
SIGECOM
2006
ACM
112views ECommerce» more  SIGECOM 2006»
14 years 1 months ago
The dynamics of viral marketing
We present an analysis of a person-to-person recommendation network, consisting of 4 million people who made 16 million recommendations on half a million products. We observe the ...
Jure Leskovec, Lada A. Adamic, Bernardo A. Huberma...