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» Learning to rank from a noisy crowd
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WWW
2011
ACM
13 years 18 days ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
KDD
2009
ACM
257views Data Mining» more  KDD 2009»
14 years 13 days ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying...
SIGIR
2006
ACM
13 years 11 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
COLING
2010
13 years 20 days ago
An Empirical Study on Web Mining of Parallel Data
This paper1 presents an empirical approach to mining parallel corpora. Conventional approaches use a readily available collection of comparable, nonparallel corpora to extract par...
Gum-Won Hong, Chi-Ho Li, Ming Zhou, Hae-Chang Rim
DAS
2004
Springer
13 years 11 months ago
Automatic Fax Routing
Abstract. We present a system for automatic FAX routing which processes incoming FAX images and forwards them to the correct email alias. The system first performs optical charact...
Paul A. Viola, James Rinker, Martin Law