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SIGIR
2009
ACM
15 years 4 months ago
Risky business: modeling and exploiting uncertainty in information retrieval
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. ...
MM
2000
ACM
87views Multimedia» more  MM 2000»
15 years 2 months ago
Giving meanings to WWW images
Images are increasingly being embedded in HTML documents on the WWW. Such documents over the WWW essentially provides a rich source of image collection from which users can query....
Heng Tao Shen, Beng Chin Ooi, Kian-Lee Tan
KDD
2009
ACM
243views Data Mining» more  KDD 2009»
15 years 10 months ago
Exploiting Wikipedia as external knowledge for document clustering
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...
KDD
2007
ACM
169views Data Mining» more  KDD 2007»
15 years 10 months ago
Exploiting underrepresented query aspects for automatic query expansion
Users attempt to express their search goals through web search queries. When a search goal has multiple components or aspects, documents that represent all the aspects are likely ...
Daniel Crabtree, Peter Andreae, Xiaoying Gao
CIKM
2010
Springer
14 years 6 months ago
A late fusion approach to cross-lingual document re-ranking
The field of information retrieval still strives to develop models which allow semantic information to be integrated in the ranking process to improve performance in comparison to...
Dong Zhou, Séamus Lawless, Jinming Min, Vin...