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» Ranking List Dispersion as a Query Performance Predictor
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TREC
2007
13 years 9 months ago
The Hedge Algorithm for Metasearch at TREC 2007
Aslam, Pavlu, and Savell [3] introduced the Hedge algorithm for metasearch which effectively combines the ranked lists of documents returned by multiple retrieval systems in resp...
Javed A. Aslam, Virgiliu Pavlu, Olena Zubaryeva
CIVR
2008
Springer
165views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Balancing thread based navigation for targeted video search
Various query methods for video search exist. Because of the semantic gap each method has its limitations. We argue that for effective retrieval query methods need to be combined ...
Ork de Rooij, Cees G. M. Snoek, Marcel Worring
IPM
2008
141views more  IPM 2008»
13 years 7 months ago
Towards a unified approach to document similarity search using manifold-ranking of blocks
Document similarity search (i.e. query by example) aims to retrieve a ranked list of documents similar to a query document in a text corpus or on the Web. Most existing approaches...
Xiaojun Wan, Jianwu Yang, Jianguo Xiao
ESWS
2008
Springer
13 years 9 months ago
Enhancing Semantic Search using N-Levels Document Representation
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: For a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...
SWAP
2008
13 years 9 months ago
Improving Retrieval Experience Exploiting Semantic Representation of Documents
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: for a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...