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» Revealing Paths of Relevant Information in Web Graphs
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KDD
2006
ACM
198views Data Mining» more  KDD 2006»
14 years 9 months ago
Event detection from evolution of click-through data
Previous efforts on event detection from the web have focused primarily on web content and structure data ignoring the rich collection of web log data. In this paper, we propose t...
Qiankun Zhao, Tie-Yan Liu, Sourav S. Bhowmick, Wei...
WER
2007
Springer
14 years 2 months ago
Towards Variability Design as Decision Boundary Placement
Complex information systems have numerous design variables that are systematically decided upon during the design process. In high-variability systems, some of these decisions are...
Catalin Bidian, Eric S. K. Yu
SIGIR
2011
ACM
12 years 11 months ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...
AIIA
2001
Springer
14 years 1 months ago
Evaluation Methods for Focused Crawling
The exponential growth of documents available in the World Wide Web makes it increasingly difficult to discover relevant information on a specific topic. In this context, growing ...
Andrea Passerini, Paolo Frasconi, Giovanni Soda
CIKM
2008
Springer
13 years 10 months ago
Learning latent semantic relations from clickthrough data for query suggestion
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu