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» Learning to rank for information retrieval
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SMC
2010
IEEE
124views Control Systems» more  SMC 2010»
15 years 4 months ago
SoftFacts: A top-k retrieval engine for ontology mediated access to relational databases
—We outline SoftFacts, an ontology mediated top-k information retrieval system over relational databases. An ontology layer is used to define (in terms of a OWL-QL like Semantic...
Umberto Straccia
IFIP12
2010
15 years 4 months ago
Learning the Preferences of News Readers with SVM and Lasso Ranking
We attack the task of predicting which news-stories are more appealing to a given audience by comparing ‘most popular stories’, gathered from various online news outlets, over ...
Elena Hensinger, Ilias N. Flaounas, Nello Cristian...
CIKM
2010
Springer
15 years 4 months ago
Collaborative future event recommendation
We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...
Einat Minkov, Ben Charrow, Jonathan Ledlie, Seth J...
SIGIR
2010
ACM
15 years 10 months ago
Multilabel classification with meta-level features
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
Siddharth Gopal, Yiming Yang
CIKM
2011
Springer
14 years 6 months ago
Towards a framework for attribute retrieval
In this paper, we propose an attribute retrieval approach which extracts and ranks attributes from HTML tables. We distinguish between class attribute retrieval and instance attri...
Arlind Kopliku, Mohand Boughanem, Karen Pinel-Sauv...