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» Query Recommendation for Improving Search Engine Results
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CIKM
2009
Springer
16 years 1 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
ICDIM
2007
IEEE
16 years 28 days ago
Exploiting multi-evidence from multiple user's interests to personalizing information retrieval
The goal of personalization in information retrieval is to tailor the search engine results to the specific goals, preferences and general interests of the users. We propose a no...
Lynda Tamine-Lechani, Mohand Boughanem, Nesrine Ze...
KCAP
2005
ACM
16 years 5 days ago
Ontology ranking based on the analysis of concept structures
In view of the need to provide tools to facilitate the reuse of existing knowledge structures such as ontologies, we present in this paper a system, AKTiveRank, for the ranking of...
Harith Alani, Christopher Brewster
WWW
2005
ACM
16 years 7 months ago
LSH forest: self-tuning indexes for similarity search
We consider the problem of indexing high-dimensional data for answering (approximate) similarity-search queries. Similarity indexes prove to be important in a wide variety of sett...
Mayank Bawa, Tyson Condie, Prasanna Ganesan
DOLAP
2003
ACM
15 years 12 months ago
Spatial hierarchy and OLAP-favored search in spatial data warehouse
Data warehouse and Online Analytical Processing(OLAP) play a key role in business intelligent systems. With the increasing amount of spatial data stored in business database, how ...
Fangyan Rao, Long Zhang, Xiulan Yu, Ying Li, Ying ...