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» Adapting ranking functions to user preference
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VLDB
1997
ACM
141views Database» more  VLDB 1997»
14 years 21 days ago
Efficient User-Adaptable Similarity Search in Large Multimedia Databases
Efficient user-adaptable similarity search more and more increases in its importance for multimedia and spatial database systems. As a general similarity model for multi-dimension...
Thomas Seidl, Hans-Peter Kriegel
ATAL
2008
Springer
13 years 10 months ago
Incorporating user utility into sponsored-search auctions
We study principled methods for incorporating user utility into the selection of sponsored search ads. We describe variations of the GSP allocation/pricing mechanism that accommod...
Yagil Engel, David Maxwell Chickering
CIKM
2008
Springer
13 years 10 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
MOBIMEDIA
2007
13 years 10 months ago
Low-complexity video content adaptation for legacy user equipment
This paper deals with the adaptation problem raised by the fact that H.264/AVC standard is rapidly being adopted by content and service providers while at the user side MPEG-2 equ...
Sandro Moiron, Sérgio M. M. de Faria, Pedro...
COLING
2008
13 years 8 months ago
A Joint Information Model for N-Best Ranking
In this paper, we present a method for modeling joint information when generating n-best lists. We apply the method to a novel task of characterizing the similarity of a group of ...
Patrick Pantel, Vishnu Vyas