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ICDM
2008
IEEE
183views Data Mining» more  ICDM 2008»
16 years 24 days ago
Collaborative Filtering for Implicit Feedback Datasets
A common task of recommender systems is to improve customer experience through personalized recommendations based on prior implicit feedback. These systems passively track differe...
Yifan Hu, Yehuda Koren, Chris Volinsky
EWCBR
2004
Springer
15 years 11 months ago
Dynamic Critiquing
Abstract. Critiquing is a powerful style of feedback for case-based recommender systems. Instead of providing detailed feature values, users indicate a directional preference for a...
James Reilly, Kevin McCarthy, Lorraine McGinty, Ba...
IUI
2003
ACM
15 years 11 months ago
Recommendations without user preferences: a natural language processing approach
We examine the problems with automated recommendation systems when information about user preferences is limited. We equate the problem to one of content similarity measurement an...
Michael Fleischman, Eduard H. Hovy
JITECH
2010
117views more  JITECH 2010»
15 years 4 months ago
Understanding information disclosure behaviour in Australian Facebook users
The advent of social networking websites presents further opportunities for criminals to obtain information for use in identity theft, cyber-stalking, and worse activities. This p...
William Newk-Fon Hey Tow, Peter Dell, John Venable
ADBIS
2011
Springer
275views Database» more  ADBIS 2011»
14 years 6 months ago
An Analysis of the Structure and Dynamics of Large-Scale Q/A Communities
Abstract. In recent years, the World Wide Web (WWW) has transformed to a gigantic social network where people interact and collaborate in diverse online communities. By using Web 2...
Daniel Schall, Florian Skopik