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» Preferences on Intervals: a general framework
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SIGIR
2004
ACM
15 years 12 months ago
A joint framework for collaborative and content filtering
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
Justin Basilico, Thomas Hofmann
ICML
1998
IEEE
16 years 7 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
CIKM
2010
Springer
15 years 5 months ago
Preference query evaluation over expensive attributes
Most database systems allow query processing over attributes that are derived at query runtime (e.g., user-defined functions and remote data calls to web services), making them e...
Justin J. Levandoski, Mohamed F. Mokbel, Mohamed E...
RECSYS
2009
ACM
16 years 1 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
FLAIRS
2007
15 years 8 months ago
Handling Qualitative Preferences Using Normal Form Functions
Reasoning about preferences is a major issue in many decision making problems. Recently, a new logic for handling preferences, called Qualitative Choice Logic (QCL), was presented...
Salem Benferhat, Daniel Le Berre, Karima Sedki