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CIKM
2008
Springer
15 years 3 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...
SIGMOD
2010
ACM
231views Database» more  SIGMOD 2010»
15 years 6 months ago
Automatically incorporating new sources in keyword search-based data integration
Scientific data offers some of the most interesting challenges in data integration today. Scientific fields evolve rapidly and accumulate masses of observational and experiment...
Partha Pratim Talukdar, Zachary G. Ives, Fernando ...
119
Voted
CIVR
2007
Springer
144views Image Analysis» more  CIVR 2007»
15 years 8 months ago
Image retrieval on large-scale image databases
Online image repositories such as Flickr contain hundreds of millions of images and are growing quickly. Along with that the needs for supporting indexing, searching and browsing ...
Eva Hörster, Rainer Lienhart, Malcolm Slaney
CIKM
2001
Springer
15 years 6 months ago
Mining the Web to Create Minority Language Corpora
The Web is a valuable source of language speci c resources but the process of collecting, organizing and utilizing these resources is di cult. We describe CorpusBuilder, an approa...
Rayid Ghani, Rosie Jones, Dunja Mladenic
AIRWEB
2008
Springer
15 years 3 months ago
A few bad votes too many?: towards robust ranking in social media
Online social media draws heavily on active reader participation, such as voting or rating of news stories, articles, or responses to a question. This user feedback is invaluable ...
Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyua...