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SIGIR
2004
ACM
13 years 10 months ago
Probabilistic model for contextual retrieval
Contextual retrieval is a critical technique for facilitating many important applications such as mobile search, personalized search, PC troubleshooting, etc. Despite of its impor...
Ji-Rong Wen, Ni Lao, Wei-Ying Ma
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
14 years 4 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
AIRS
2004
Springer
13 years 10 months ago
Improving Transliteration with Precise Alignment of Phoneme Chunks and Using Contextual Features
Abstract. Automatic transliteration of foreign names is basically regarded as a diminutive clone of the machine translation (MT) problem. It thus follows IBM’s conventional MT mo...
Wei Gao, Kam-Fai Wong, Wai Lam
PAMI
2012
11 years 7 months ago
Holistic Context Models for Visual Recognition
— A novel framework to context modeling, based on the probability of co-occurrence of objects and scenes is proposed. The modeling is quite simple, and builds upon the availabili...
Nikhil Rasiwasia, Nuno Vasconcelos
ECIR
2006
Springer
13 years 5 months ago
Influence Diagrams for Contextual Information Retrieval
The purpose of contextual information retrieval is to make some exploration towards designing user specific search engines that are able to adapt the retrieval model to the variety...
Lynda Tamine-Lechani, Mohand Boughanem