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» Learning to rank for information retrieval (LR4IR 2008)
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CIKM
2011
Springer
14 years 6 months ago
Learning to aggregate vertical results into web search results
Aggregated search is the task of integrating results from potentially multiple specialized search services, or verticals, into the Web search results. The task requires predicting...
Jaime Arguello, Fernando Diaz, Jamie Callan
WWW
2010
ACM
15 years 9 months ago
Diversifying landmark image search results by learning interested views from community photos
In this paper, we demonstrate a novel landmark photo search and browsing system, Agate, which ranks landmark image search results considering their relevance, diversity and qualit...
Yuheng Ren, Mo Yu, Xin-Jing Wang, Lei Zhang, Wei-Y...
ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
16 years 18 days ago
Unsupervised Face Annotation by Mining the Web
Searching for images of people is an essential task for image and video search engines. However, current search engines have limited capabilities for this task since they rely on ...
Duy-Dinh Le, Shin'ichi Satoh
ACL
2009
15 years 4 months ago
English-Chinese Bi-Directional OOV Translation based on Web Mining and Supervised Learning
In Cross-Language Information Retrieval (CLIR), Out-of-Vocabulary (OOV) detection and translation pair relevance evaluation still remain as key problems. In this paper, an English...
Yuejie Zhang, Yang Wang, Xiangyang Xue
CIKM
2008
Springer
15 years 8 months ago
Improve the effectiveness of the opinion retrieval and opinion polarity classification
Opinion retrieval is a document retrieving and ranking process. A relevant document must be relevant to the query and contain opinions toward the query. Opinion polarity classific...
Wei Zhang, Lifeng Jia, Clement T. Yu, Weiyi Meng