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
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This paper presents a novel method for searching documents which have similar topics to a given document set. It is designed for mobile device users to search for documents which have similar topic to the ones on the users own device. The algorithms are designed for slower processor and memory capacity, 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. Details on the applied methods and experimental results are presented in this paper.