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» Predicting query performance on the web
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ML
2000
ACM
150views Machine Learning» more  ML 2000»
13 years 9 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew
TMM
2002
140views more  TMM 2002»
13 years 8 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
ICC
2009
IEEE
125views Communications» more  ICC 2009»
13 years 6 months ago
HMM-Web: A Framework for the Detection of Attacks Against Web Applications
Nowadays, the web-based architecture is the most frequently used for a wide range of internet services, as it allows to easily access and manage information and software on remote ...
Igino Corona, Davide Ariu, Giorgio Giacinto
SIGIR
2009
ACM
14 years 3 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
SAC
2006
ACM
14 years 3 months ago
Relevance feedback methods for logo and trademark image retrieval on the web
Relevance feedback is the state-of-the-art approach for adjusting query results to the needs of the users. This work extends the existing framework of image retrieval with relevan...
Euripides G. M. Petrakis, Klaydios Kontis, Epimeni...