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» Mining search engine query logs via suggestion sampling
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PVLDB
2008
144views more  PVLDB 2008»
11 years 5 months ago
Mining search engine query logs via suggestion sampling
Many search engines and other web applications suggest auto-completions as the user types in a query. The suggestions are generated from hidden underlying databases, such as query...
Ziv Bar-Yossef, Maxim Gurevich
SIGIR
2012
ACM
9 years 8 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...
KDD
2008
ACM
176views Data Mining» more  KDD 2008»
12 years 6 months ago
Context-aware query suggestion by mining click-through and session data
Query suggestion plays an important role in improving the usability of search engines. Although some recently proposed methods can make meaningful query suggestions by mining quer...
Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen L...
CIKM
2008
Springer
11 years 7 months ago
Search-based query suggestion
In this paper, we proposed a unified strategy to combine query log and search results for query suggestion. In this way, we leverage both the users' search intentions for pop...
Jiang-Ming Yang, Rui Cai, Feng Jing, Shuo Wang, Le...
JISE
2007
116views more  JISE 2007»
11 years 5 months ago
Mining Navigation Behaviors for Term Suggestion of Search Engines
Query expansion is extensively applied in information retrieval systems, such as search engines. Most conventional approaches to query expansion have been developed based on textua...
Hahn-Ming Lee, Chi-Chun Huang, Wei-Tang Hung
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