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» Learning to rank for information retrieval (LR4IR 2008)
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WWW
2008
ACM
16 years 6 months ago
Larger is better: seed selection in link-based anti-spamming algorithms
Seed selection is of significant importance for the biased PageRank algorithms such as TrustRank to combat link spamming. Previous work usually uses a small seed set, which has a ...
Qiancheng Jiang, Lei Zhang, Yizhen Zhu, Yan Zhang
MM
2009
ACM
221views Multimedia» more  MM 2009»
16 years 20 days ago
Using large-scale web data to facilitate textual query based retrieval of consumer photos
The rapid popularization of digital cameras and mobile phone cameras has lead to an explosive growth of consumer photo collections. In this paper, we present a (quasi) real-time t...
Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo
SIGIR
2004
ACM
15 years 11 months ago
Focused named entity recognition using machine learning
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
Li Zhang, Yue Pan, Tong Zhang
CLEF
2005
Springer
15 years 11 months ago
Easing Erroneous Translations in Cross-Language Image Retrieval Using Word Associations
When short queries and short image annotations are used in text-based cross-language image retrieval, small changes in word usage due to translation errors may decrease the retriev...
Masashi Inoue
CIKM
2008
Springer
15 years 8 months ago
Learning latent semantic relations from clickthrough data for query suggestion
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu