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» Mining clickthrough data for collaborative web search
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COLING
2010
14 years 4 months ago
An Empirical Study on Web Mining of Parallel Data
This paper1 presents an empirical approach to mining parallel corpora. Conventional approaches use a readily available collection of comparable, nonparallel corpora to extract par...
Gum-Won Hong, Chi-Ho Li, Ming Zhou, Hae-Chang Rim
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
WWW
2011
ACM
14 years 4 months ago
Domain-independent entity extraction from web search query logs
Query logs of a Web search engine have been increasingly used as a vital source for data mining. This paper presents a study on largescale domain-independent entity extraction fro...
Alpa Jain, Marco Pennacchiotti
IAT
2007
IEEE
15 years 4 months ago
An Intelligent Web Agent to Mine Bilingual Parallel Pages via Automatic Discovery of URL Pairing Patterns
This paper describes an intelligent agent to facilitate bitext mining from the Web via automatic discovery of URL pairing patterns (or keys) for retrieving parallel web pages. The...
Chunyu Kit, Jessica Yee Ha Ng
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
15 years 4 months ago
Modeling and predicting user behavior in sponsored search
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Josh Attenberg, Sandeep Pandey, Torsten Suel