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» The Happy Searcher: Challenges in Web Information Retrieval
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WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 5 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
WAIM
2007
Springer
14 years 2 months ago
A New DBMS Architecture for DB-IR Integration
Nowadays, as there is an increasing need to integrate the DBMS (for structured data) with Information Retrieval (IR) features (for unstructured data), DB-IR integration becomes one...
Kyu-Young Whang
WWW
2006
ACM
14 years 8 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
SIGSOFT
2010
ACM
13 years 5 months ago
Software for everyone by everyone
Given the dizzying pace of change in computer science, trying to look too far into the future of software engineering is hard. However, it might be possible to predict the future ...
Tevfik Bultan
WWW
2009
ACM
14 years 8 months ago
Rated aspect summarization of short comments
Web 2.0 technologies have enabled more and more people to freely comment on different kinds of entities (e.g. sellers, products, services). The large scale of information poses th...
Yue Lu, ChengXiang Zhai, Neel Sundaresan