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ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
15 years 4 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 9 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
COOPIS
2002
IEEE
15 years 11 months ago
Composing and Deploying Grid Middleware Web Services Using Model Driven Architecture
Rapid advances in networking, hardware, and middleware technologies are facilitating the development and deployment of complex grid applications, such as large-scale distributed co...
Aniruddha S. Gokhale, Balachandran Natarajan
DSML
2008
107views Formal Methods» more  DSML 2008»
15 years 8 months ago
How Web 2.0 can Leverage Model Engineering in Practice
: Today's online model repositories offer to download and view the textual specifications of e.g. metamodels and models in the browser. For users, in order to efficiently sear...
Manuel Wimmer, Andrea Schauerhuber, Michael Stromm...
CIKM
2005
Springer
16 years 3 days ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman