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CIKM
2008
Springer
13 years 6 months ago
Mining term association patterns from search logs for effective query reformulation
Search engine logs are an emerging new type of data that offers interesting opportunities for data mining. Existing work on mining such data has mostly attempted to discover knowl...
Xuanhui Wang, ChengXiang Zhai
WSDM
2010
ACM
203views Data Mining» more  WSDM 2010»
14 years 1 months ago
Query Reformulation Using Anchor Text
Query reformulation techniques based on query logs have been studied as a method of capturing user intent and improving retrieval effectiveness. The evaluation of these techniques...
Van Dang, Bruce W. Croft
WEBI
2009
Springer
13 years 11 months ago
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
Understanding query reformulation patterns is a key step towards next generation web search engines: it can help improving users’ web-search experience by predicting their inten...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, Se...
INFOSCALE
2007
ACM
13 years 6 months ago
Mining query logs to optimize index partitioning in parallel web search engines
Large-scale Parallel Web Search Engines (WSEs) needs to adopt a strategy for partitioning the inverted index among a set of parallel server nodes. In this paper we are interested ...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
NLPRS
2001
Springer
13 years 9 months ago
Automatically Harvesting Katakana-English Term Pairs from Search Engine Query Logs
This paper describes a method of extracting katakana words and phrases, along with their English counterparts from non-aligned monolingual web search engine query logs. The method...
Eric Brill, Gary Kacmarcik, Chris Brockett