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RECSYS
2009
ACM
14 years 8 days ago
Matching information content with music
This work addresses a particular kind of cross domain personalization task consisting of selecting simultaneously two items in two different domains and recommending them togethe...
Marius Kaminskas
CHI
2011
ACM
12 years 11 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
AAAI
1996
13 years 9 months ago
Machine Learning of User Profiles: Representational Issues
As more information becomes available electronically, tools for finding information of interest to users becomes increasingly important. The goal of the research described here is...
Eric Bloedorn, Inderjeet Mani, T. Richard MacMilla...
ESWS
2006
Springer
13 years 11 months ago
Interactive Ontology-Based User Knowledge Acquisition: A Case Study
On the Semantic Web personalization technologies are needed to deal with user diversity. Our research aims at maximising the automation of acquisition of user knowledge, thus provi...
Lora Aroyo, Ronald Denaux, Vania Dimitrova, Michae...
RECSYS
2009
ACM
14 years 2 months ago
Preference elicitation with subjective features
Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predefined set of fe...
Craig Boutilier, Kevin Regan, Paolo Viappiani