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CIKM
2006
Springer
13 years 11 months ago
Summarizing local context to personalize global web search
The PC Desktop is a very rich repository of personal information, efficiently capturing user's interests. In this paper we propose a new approach towards an automatic persona...
Paul-Alexandru Chirita, Claudiu S. Firan, Wolfgang...
NIPS
2007
13 years 8 months ago
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier C...
SIGIR
2009
ACM
14 years 1 months ago
Evaluating web search using task completion time
We consider experiments to measure the quality of a web search algorithm based on how much total time users take to complete assigned search tasks using that algorithm. We first ...
Ya Xu, David Mease
ACL
2009
13 years 5 months ago
Exploiting Bilingual Information to Improve Web Search
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingua...
Wei Gao, John Blitzer, Ming Zhou, Kam-Fai Wong
ICIW
2007
IEEE
14 years 1 months ago
Context-aware Web Services for Distributed Retrieval of Points of Interest
Due to the widespread availability of accurate localization technologies, navigation systems are more and more present on mobile devices. These applications usually provide facili...
Claudio Bettini, Daniele Riboni