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MIR
2005
ACM
140views Multimedia» more  MIR 2005»
15 years 6 months ago
Multiple random walk and its application in content-based image retrieval
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying M...
124
Voted
SDM
2004
SIAM
174views Data Mining» more  SDM 2004»
15 years 2 months ago
Classifying Documents Without Labels
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
Daniel Barbará, Carlotta Domeniconi, Ning K...
88
Voted
WWW
2007
ACM
16 years 1 months ago
A link-based ranking scheme for focused search
This paper introduces a novel link-based ranking algorithm based on a model of focused Web surfers. FocusedRank is described and compared to implementations of PageRank and Topic-...
Philip O'Brien, Tony Abou-Assaleh, Tapajyoti Das, ...
99
Voted
CIKM
2009
Springer
15 years 7 months ago
Web search result summarization: title selection algorithms and user satisfaction
Eye tracking experiments have shown that titles of Web search results play a crucial role in guiding a user’s search process. We present a machine-learned algorithm that trains ...
Tapas Kanungo, Nadia Ghamrawi, Ki Yuen Kim, Lawren...
94
Voted
ERCIMDL
2007
Springer
87views Education» more  ERCIMDL 2007»
15 years 7 months ago
Thesaurus-Based Feedback to Support Mixed Search and Browsing Environments
We propose and evaluate a query expansion mechanism that supports searching and browsing in collections of annotated documents. Based on generative language models, our feedback me...
Edgar Meij, Maarten de Rijke