Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/93769
Title: Adapting hypertext using long term model
Authors: Cini, Adrian (2005)
Keywords: Hypertext systems
Web search engines
World Wide Web
Issue Date: 2005
Citation: Cini, A. (2005). Adapting hypertext using long term model (Bachelor's dissertation).
Abstract: As storage space cost decreased dramatically and access to the internet became so available, having web pages capable delivering information to others became a rather easy task and a very effective way to publicize and provide support. The revolution of the internet as a commercial way of information sharing that pushed the originally military network into what we know today by the World Wide Web. Even though today one can assume that a browser is surfing on a high bandwidth, information retrieval is a very time consuming process. Primitive information retrieval searches are only capable of returning results by comparing a search string and the only reason for their success is due to the redundancy of certain data. This project will try to accomplish a better information retrieval by combining different methodologies and giving them different weights. Yet the main focus is the result that would be achieved by using an adaptive model of the user as a base of the searching algorithm anticipating that this will express a certain degree of cleverness in the searches and thus can return a much more context related results. Another aspect is that the user will not be returned with things he mentioned in the search string that is things he already knows but also other related queries, thus giving the system a degree of topic understanding. The achievements obtained through this approach will be discovered by evaluating of the final product.
Description: B.Sc. IT (Hons)(Melit.)
URI: https://www.um.edu.mt/library/oar/handle/123456789/93769
Appears in Collections:Dissertations - FacICT - 1999-2009
Dissertations - FacICTCS - 1999-2007

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