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JURIX
2007
15 years 7 months ago
Using Legal Ontology for Query Enhancement in Generating a Document Summary
In this paper, we have proposed a novel comprehensive structural framework for the construction of ontology from a given legal corpus for the purpose of query enhancement to pick r...
M. Saravanan, B. Ravindran, S. Raman
WWW
2004
ACM
16 years 7 months ago
Query and content suggestion based on latent interest and topic class
To improve the process of user information retrieval, we propose the concept of a latent semantic map (LSM), along with a method of generating this map. The novel aspect of the LS...
Noriaki Kawaeme, Hideaki Suzuki, Osamu Mizuno
CIKM
2010
Springer
15 years 4 months ago
Exploiting site-level information to improve web search
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josif...
INTR
2010
157views more  INTR 2010»
15 years 4 months ago
Classifying the user intent of web queries using k-means clustering
Purpose – Web search engines are frequently used by people to locate information on the Internet. However, not all queries have an informational goal. Instead of information, so...
Ashish Kathuria, Bernard J. Jansen, Carolyn Hafern...
CHI
2008
ACM
16 years 6 months ago
SearchBar: a search-centric web history for task resumption and information re-finding
Current user interfaces for Web search, including browsers and search engine sites, typically treat search as a transient activity. However, people often conduct complex, multique...
Dan Morris, Meredith Ringel Morris, Gina Venolia