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CIKM
2010
Springer
13 years 6 months ago
Decomposing background topics from keywords by principal component pursuit
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
Kerui Min, Zhengdong Zhang, John Wright, Yi Ma
SEMCO
2008
IEEE
14 years 1 months ago
SEMSOC: SEMantic, SOcial and Content-Based Clustering in Multimedia Collaborative Tagging Systems
A huge amount of data and metadata emerges from Web 2.0 applications which have transformed the Web to a mass social interaction and collaboration medium. Collaborative Tagging Sy...
Eirini Giannakidou, Ioannis Kompatsiaris, Athena V...
IIR
2010
13 years 9 months ago
Semantic Vectors: an Information Retrieval Scenario
In this paper we exploit Semantic Vectors to develop an IR system. The idea is to use semantic spaces built on terms and documents to overcome the problem of word ambiguity. Word ...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
WWW
2001
ACM
14 years 8 months ago
Placing search in context: the concept revisited
We describe a new paradigm for performing search in context. In the IntelliZap system we developed, search is initiated from a text query marked by the user in a document she view...
Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias...
SIGIR
2004
ACM
14 years 29 days ago
On scaling latent semantic indexing for large peer-to-peer systems
The exponential growth of data demands scalable infrastructures capable of indexing and searching rich content such as text, music, and images. A promising direction is to combine...
Chunqiang Tang, Sandhya Dwarkadas, Zhichen Xu