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» Query and Document Models for Enterprise Search
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SIGIR
2004
ACM
15 years 4 months ago
An effective approach to document retrieval via utilizing WordNet and recognizing phrases
Noun phrases in queries are identified and classified into four types: proper names, dictionary phrases, simple phrases and complex phrases. A document has a phrase if all content...
Shuang Liu, Fang Liu, Clement T. Yu, Weiyi Meng
AAAI
2006
15 years 36 min ago
OntoSearch: A Full-Text Search Engine for the Semantic Web
OntoSearch, a full-text search engine that exploits ontological knowledge for document retrieval, is presented in this paper. Different from other ontology based search engines, O...
Xing Jiang, Ah-Hwee Tan
CIKM
2009
Springer
15 years 5 months ago
Easiest-first search: towards comprehension-based web search
Although Web search engines have become information gateways to the Internet, for queries containing technical terms, search results often contain pages that are difficult to be ...
Makoto Nakatani, Adam Jatowt, Katsumi Tanaka
NIPS
2007
15 years 10 hour ago
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks
We propose a model that leverages the millions of clicks received by web search engines to predict document relevance. This allows the comparison of ranking functions when clicks ...
Ben Carterette, Rosie Jones
SIGIR
2012
ACM
13 years 1 months ago
Improving searcher models using mouse cursor activity
Web search components such as ranking and query suggestions analyze the user data provided in query and click logs. While this data is easy to collect and provides information abo...
Jeff Huang, Ryen W. White, Georg Buscher, Kuansan ...