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RECSYS
2010
ACM
13 years 6 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
CIKM
2010
Springer
13 years 23 days ago
Exploiting hierarchical tags for context-awareness
Context-awareness for information retrieval is challenging problem as information about the users current situation is rarely available. If such information would be available, re...
Alan Said, Jérôme Kunegis, Ernesto Wi...
IUI
2003
ACM
13 years 11 months ago
An adaptive stock tracker for personalized trading advice
The Stock Tracker is an adaptive recommendation system for trading stocks that automatically acquires content-based models of user preferences to tailor its buy and sell advice. T...
Jungsoon P. Yoo, Melinda T. Gervasio, Pat Langley
SIGIR
2005
ACM
13 years 11 months ago
Personalizing search via automated analysis of interests and activities
We formulate and study search algorithms that consider a user’s prior interactions with a wide variety of content to personalize that user’s current Web search. Rather than re...
Jaime Teevan, Susan T. Dumais, Eric Horvitz
KDD
2009
ACM
379views Data Mining» more  KDD 2009»
13 years 10 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...