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AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 4 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
LREC
2008
86views Education» more  LREC 2008»
13 years 11 months ago
Tools for Collocation Extraction: Preferences for Active vs. Passive
We present and partially evaluate procedures for the extraction of noun+verb collocation candidates from German text corpora, along with their morphosyntactic preferences, especia...
Ulrich Heid, Marion Weller
NIPS
2007
13 years 11 months ago
Active Preference Learning with Discrete Choice Data
We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an...
Eric Brochu, Nando de Freitas, Abhijeet Ghosh
SIGMOD
2007
ACM
198views Database» more  SIGMOD 2007»
14 years 10 months ago
Addressing diverse user preferences in SQL-query-result navigation
Database queries are often exploratory and users often find their queries return too many answers, many of them irrelevant. Existing work either categorizes or ranks the results t...
Zhiyuan Chen, Tao Li
TKDE
2010
229views more  TKDE 2010»
13 years 8 months ago
Deriving Concept-Based User Profiles from Search Engine Logs
—User profiling is a fundamental component of any personalization applications. Most existing user profiling strategies are based on objects that users are interested in (i.e., p...
Kenneth Wai-Ting Leung, Dik Lun Lee