Abstract
A system has been built that adapts the contents of existing web sites to the needs of the users. With this system, it is possible to define the user interests about any kind of topic, and they are used to filter the information from the site. To do it, we have used topic identification and document classification techniques. As an additional functionality, a summarisation system has been integrated with the system, and the user can specify which is the level of compression to be performed on the original hypertext pages from the static web site. In a preliminary evaluation the system was well received among potential users.
This work has been sponsored by CICYT, project number TIC2001-0685-C02-01.
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Alfonseca, E., Rodríguez, P. (2003). Modelling Users’ Interests and Needs for an Adaptive Online Information System. In: Brusilovsky, P., Corbett, A., de Rosis, F. (eds) User Modeling 2003. UM 2003. Lecture Notes in Computer Science(), vol 2702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44963-9_11
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DOI: https://doi.org/10.1007/3-540-44963-9_11
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