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» Search Engines: Information Retrieval in Practice
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WWW
2008
ACM
15 years 10 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
KDD
2006
ACM
185views Data Mining» more  KDD 2006»
15 years 10 months ago
How to Define Searching Sessions on Web Search Engines
We investigate three methods for defining a session on Web search engines. We examine 2,465,145 interactions from 534,507 Web searchers. We compare defining sessions using: 1) Int...
Bernard J. Jansen, Amanda Spink, Vinish Kathuria
JCDL
2006
ACM
143views Education» more  JCDL 2006»
15 years 3 months ago
Categorizing web search results into meaningful and stable categories using fast-feature techniques
When search results against digital libraries and web resources have limited metadata, augmenting them with meaningful and stable category information can enable better overviews ...
Bill Kules, Jack Kustanowitz, Ben Shneiderman
91
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WWW
2007
ACM
15 years 10 months ago
Academic web search engine: generating a survey automatically
Given a document repository, search engine is very helpful to retrieve information. Currently, vertical search is a hot topic, and Google Scholar [4] is an example for academic se...
Ye Wang, Zhihua Geng, Sheng Huang, Xiaoling Wang, ...
FLAIRS
2003
14 years 11 months ago
Structural Web Search Engine
We present a new approach in web search engines. The web creates new challenges for information retrieval. The vast improvement in information access is not the only advantage res...
Arash Rakhshan, Lawrence B. Holder, Diane J. Cook