Abstract
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.
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Csorba, K., Vajk, I. (2008). Iterative Search for Similar Documents on Mobile Devices. In: Dengel, A.R., Berns, K., Breuel, T.M., Bomarius, F., Roth-Berghofer, T.R. (eds) KI 2008: Advances in Artificial Intelligence. KI 2008. Lecture Notes in Computer Science(), vol 5243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85845-4_5
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DOI: https://doi.org/10.1007/978-3-540-85845-4_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85844-7
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