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SIGIR
2012
ACM
13 years 9 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
CIKM
2007
Springer
16 years 19 days ago
Shine: search heterogeneous interrelated entities
Heterogeneous entities or objects are very common and are usually interrelated with each other in many scenarios. For example, typical Web search activities involve multiple types...
Xuanhui Wang, Jian-Tao Sun, Zheng Chen
WWW
2010
ACM
16 years 1 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
CIKM
2008
Springer
15 years 8 months ago
Understanding the relationship between searchers' queries and information goals
We describe results from Web search log studies aimed at elucidating user behaviors associated with queries and destination URLs that appear with different frequencies. We note th...
Doug Downey, Susan T. Dumais, Daniel J. Liebling, ...
VLDB
2003
ACM
141views Database» more  VLDB 2003»
16 years 6 months ago
Computing complete answers to queries in the presence of limited access patterns
In data applications such as information integration, there can be limited access patterns to relations, i.e., binding patterns require values to be specified for certain attribut...
Chen Li