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» Predicting user interests from contextual information
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NAACL
2004
14 years 11 months ago
The (Non)Utility of Predicate-Argument Frequencies for Pronoun Interpretation
State-of-the-art pronoun interpretation systems rely predominantly on morphosyntactic contextual features. While the use of deep knowledge and inference to improve these models wo...
Andrew Kehler, Douglas E. Appelt, Lara Taylor, Ale...
90
Voted
RECSYS
2009
ACM
15 years 4 months ago
Context-based splitting of item ratings in collaborative filtering
Collaborative Filtering (CF) recommendations are computed by leveraging a historical data set of users’ ratings for items. It assumes that the users’ previously recorded ratin...
Linas Baltrunas, Francesco Ricci
CIA
2004
Springer
15 years 3 months ago
Qualitative Analysis of User-Based and Item-Based Prediction Algorithms for Recommendation Agents
Recommendation agents employ prediction algorithms to provide users with items that match their interests. In this paper, several prediction algorithms are described and evaluated...
Manos Papagelis, Dimitris Plexousakis
CHI
2011
ACM
14 years 1 months ago
Modeling users of intelligent systems
While many devices today increasingly have the ability to predict human activities, it is still difficult to build accurate personalized machine learning models. As users today wi...
Stephanie Rosenthal
105
Voted
BMCBI
2004
142views more  BMCBI 2004»
14 years 9 months ago
GOTree Machine (GOTM): a web-based platform for interpreting sets of interesting genes using Gene Ontology hierarchies
Background: Microarray and other high-throughput technologies are producing large sets of interesting genes that are difficult to analyze directly. Bioinformatics tools are needed...
Bing Zhang, Denise Schmoyer, Stefan Kirov, Jay Sno...