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» Preference-based search with adaptive recommendations
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ICML
1998
IEEE
14 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...
CORR
2011
Springer
166views Education» more  CORR 2011»
12 years 10 months ago
A Personalized System for Conversational Recommendations
Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help ...
Mehmet H. Göker, Pat Langley, Cynthia A. Thom...
RECSYS
2010
ACM
13 years 6 months ago
Content-based recommendation in social tagging systems
We present and evaluate various content-based recommendation models that make use of user and item profiles defined in terms of weighted lists of social tags. The studied approach...
Iván Cantador, Alejandro Bellogín, D...
CIVR
2008
Springer
173views Image Analysis» more  CIVR 2008»
13 years 8 months ago
Adaptive multiple feedback strategies for interactive video search
In this paper, we propose adaptive multiple feedback strategies for interactive video retrieval. We first segregate interactive feedback into 3 distinct types (recall-driven relev...
Huan-Bo Luan, Yantao Zheng, Shi-Yong Neo, Yongdong...
IRFC
2011
Springer
12 years 9 months ago
Applying Web Usage Mining for Adaptive Intranet Navigation
Much progress has recently been made in assisting a user in the search process, be it Web search where the big search engines have now all incorporated more interactive features or...
Sharhida Zawani Saad, Udo Kruschwitz