The Geometry of Information Retrieval
The Geometry of Information Retrieval
Text Representation: From Vector to Tensor
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Information Extraction: Algorithms and Prospects in a Retrieval Context (The Information Retrieval Series)
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Self-Similarity Metric for Index Pruning in Conceptual Vector Space Models
DEXA '08 Proceedings of the 2008 19th International Conference on Database and Expert Systems Application
Computing semantic relatedness using Wikipedia-based explicit semantic analysis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
The automatic creation of literature abstracts
IBM Journal of Research and Development
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The existing search engine interaction paradigm of typing in keywords and getting an enormous list of links is not suited for a lot of information seeking tasks. We see synthesis or summarization of information to satisfy users' information needs as an important step on the way to next generation information access systems. The idea is to explore the alternative geometrical models of meaning [14] based on the theory of Quantum Mechanics and Hilbert Spaces as a unifying framework for integrating semantic metadata into retrieval and summarization.