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» Improving Automatic Query Expansion
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CIKM
2009
Springer
14 years 2 months ago
Helping editors choose better seed sets for entity set expansion
Sets of named entities are used heavily at commercial search engines such as Google, Yahoo and Bing. Acquiring sets of entities typically consists of combining semi-supervised exp...
Vishnu Vyas, Patrick Pantel, Eric Crestan
MM
2004
ACM
142views Multimedia» more  MM 2004»
14 years 1 months ago
Learning query-class dependent weights in automatic video retrieval
Combining retrieval results from multiple modalities plays a crucial role for video retrieval systems, especially for automatic video retrieval systems without any user feedback a...
Rong Yan, Jun Yang 0003, Alexander G. Hauptmann
ECIR
2010
Springer
13 years 9 months ago
Query Performance Prediction: Evaluation Contrasted with Effectiveness
Query performance predictors are commonly evaluated by reporting correlation coefficients to denote how well the methods perform at predicting the retrieval performance of a set of...
Claudia Hauff, Leif Azzopardi, Djoerd Hiemstra, Fr...
ECCV
2010
Springer
13 years 10 months ago
Avoiding confusing features in place recognition
We seek to recognize the place depicted in a query image using a database of “street side” images annotated with geolocation information. This is a challenging task due to chan...
EMNLP
2007
13 years 9 months ago
Learning Noun Phrase Query Segmentation
Query segmentation is the process of taking a user’s search-engine query and dividing the tokens into individual phrases or semantic units. Identification of these query segmen...
Shane Bergsma, Qin Iris Wang