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SIGIR
2008
ACM
15 years 4 months ago
Hierarchical naive bayes models for representing user profiles
In this paper, we show how a user profile can be enhanced when a more detailed description of the products is included. Two main assumptions have been considered: the first implie...
Juan F. Huete, Luis M. de Campos, Juan M. Fern&aac...
SIGMOD
2010
ACM
189views Database» more  SIGMOD 2010»
15 years 9 months ago
Recsplorer: recommendation algorithms based on precedence mining
We study recommendations in applications where there are temporal patterns in the way items are consumed or watched. For example, a student who has taken the Advanced Algorithms c...
Aditya G. Parameswaran, Georgia Koutrika, Benjamin...
SIGMOD
2005
ACM
107views Database» more  SIGMOD 2005»
16 years 4 months ago
Goals and Benchmarks for Autonomic Configuration Recommenders
We are witnessing an explosive increase in the complexity of the information systems we rely upon. Autonomic systems address this challenge by continuously configuring and tuning ...
Mariano P. Consens, Denilson Barbosa, Adrian M. Te...
RECSYS
2009
ACM
15 years 8 months ago
iTag: a personalized blog tagger
We present iTag, a personalized tag recommendation system for blogs. iTag improves on the state-of-the-art in tag recommendation systems in two ways. First, iTag has much higher p...
Michael Hart, Rob Johnson, Amanda Stent
KDD
2009
ACM
162views Data Mining» more  KDD 2009»
16 years 4 months ago
TrustWalker: a random walk model for combining trust-based and item-based recommendation
Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
Mohsen Jamali, Martin Ester