Information retrieval using a singular value decomposition model of latent semantic structure
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Text Mining: Predictive Methods for Analyzing Unstructured Information
Text Mining: Predictive Methods for Analyzing Unstructured Information
Orthogonal locality preserving indexing
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
OCFS: optimal orthogonal centroid feature selection for text categorization
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Data Mining and Knowledge Discovery Handbook
Data Mining and Knowledge Discovery Handbook
Generalized LARS as an effective feature selection tool for text classification with SVMs
ICML '05 Proceedings of the 22nd international conference on Machine learning
Semantic access control for corporate mobile devices
ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II
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This paper presents a new method for searching documents which have similar topics to an already present document set. It is designed to help mobile device users to search for documents in a peer-to-peer environment which have similar topic to the ones on the users own device. The algorithms are designed for slower processors, smaller memory and small data traffic between the devices. These features allow the application in an environment of mobile devices like phones or PDA-s. The keyword list based topic comparison is enhanced with cascading, leading to a series of document searching elements specialized on documents not selected by previous stages. The architecture, the employed algorithms, and the experimental results are presented in this paper.