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» A Frequency Mining-Based Algorithm for Re-ranking Web Search...
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AI
2008
Springer
13 years 11 months ago
A Frequency Mining-Based Algorithm for Re-ranking Web Search Engine Retrievals
Abstract. Conventional web search engines retrieve too many documents for the majority of the submitted queries; therefore, they possess a good recall, since there are far more pag...
M. Barouni-Ebrahimi, Ebrahim Bagheri, Ali A. Ghorb...
WWW
2009
ACM
14 years 5 months ago
Web image retrieval reranking with multi-view clustering
General image retrieval is often carried out by a text-based search engine, such as Google Image Search. In this case, natural language queries are used as input to the search eng...
Mingmin Chi, Peiwu Zhang, Yingbin Zhao, Rui Feng, ...
ICMCS
2006
IEEE
174views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Web Image Mining Based on Modeling Concept-Sensitive Salient Regions
In this paper, we propose a probabilistic model for web image mining, which is based on concept-sensitive salient regions without human intervene. Our goal is to achieve a middle-...
Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, ...
JCDL
2006
ACM
101views Education» more  JCDL 2006»
13 years 10 months ago
Search engine driven author disambiguation
In scholarly digital libraries, author disambiguation is an important task that attributes a scholarly work with specific authors. This is critical when individuals share the sam...
Yee Fan Tan, Min-Yen Kan, Dongwon Lee
TREC
2001
13 years 6 months ago
Link-based Approaches for Text Retrieval
We assess a family of ranking mechanisms for search engines based on linkage analysis using a carefully engineered subset of the World Wide Web, WT10g (Bailey, Craswell and Hawking...
Julien Gevrey, Stefan M. Rüger