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Semantic Explorer --- navigation in documents collections; Proxima Daily --- learning personal newspaper (demonstration session)
2000
Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '00
NeurOK LLC presents two products, based on its propnetary technology of content-based information retrieval and filtering. Both products are powered by the Internet Semantic Server TM, capable of learning the basic semantic categories from large documents collections. Each term as well as each document is then represented as a vector in semantic space, so that closely related documents have similar vectors. Thus one can compare the content of the documents, regardless of the particular choice
doi:10.1145/345508.345668
dblp:conf/sigir/AsadovS00
fatcat:d23z5s6pdfb7femxhgk3hephku