Download Advances in Web Intelligence: First International by Ning Zhong (auth.), Ernestina Menasalvas, Javier Segovia, PDF

By Ning Zhong (auth.), Ernestina Menasalvas, Javier Segovia, Piotr S. Szczepaniak (eds.)

We are happy to give the court cases of the 2003 Atlantic internet Intelligence C- ference, AWIC 2003. The convention was once situated in Madrid, Spain in the course of might 5–6, 2003, prepared in the neighborhood by way of the Technical collage of Madrid. AWIC 2003 aimed to be the rst of a chain of meetings on net Intelligence, to be celebrated each year, then again in Europe and the USA, beginning in Madrid. It used to be born as an job of the lately created WIC-Poland learn Centre and the WIC-Spain study Centre, bothbelongingtotheWebIntelligenceConsortium(WIC) ( 2003 used to be supported with delivers from the S- nish Ministry for technology and expertise and the eu community of Excellence in wisdom Discovery, KDNet. AWIC 2003 introduced jointly scientists, engineers, machine clients, and scholars to switch and proportion their studies, new rules, and learn effects approximately all elements (theory,applications,andtools)ofarti cialintelligencetechniquesappliedtoWeb-based platforms, and to debate the sensible demanding situations encountered and the options followed. nearly 70 contributions have been submitted. After a initial evaluate, 60 of those papers have been authorized to the convention and have been assigned no less than reviewers from the overseas application committee. Out of this 60, 33 have been conditionally permitted, and 32 of them have been nally approved after the stipulations set through the reviewers have been met, which led to an recognition ratio of 45%.

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Extra info for Advances in Web Intelligence: First International AtlanticWeb Intelligence Conference, AWIC 2003, Madrid, Spain, May 5–6, 2003. Proceedings

Example text

In this case, Conceptual Fuzzy Sets (CFS) are used to represent the concepts contained in a document and Hopfield networks algorithms are used when matching the words in the query and the words in the CFS. On the contrary of the system proposed in this paper, the approaches mentioned before require special search engines implementing specific matching algorithms. In this context, the main objective of this work is to achieve the “clustered organized conceptual (COC) queries”, first obtaining the pages that contain the concepts specified in the user query and later organizing the resulting pages into clusters of conceptually related pages, using a metasearcher that implements the standard vector space model matching algorithm.

Most of these approaches calculate user profiles taking into account this information. Many companies have focused more on web site traffic than on their profitability. However, the number of visitors does not necessarily correlate with the number of customers (“those who purchase at the site”). Though marketing has generally focused on the former campaigns should also be focused on customers, those who ultimately determine profits. Thus, knowing the most frequent user paths is not enough. But, it is necessary to integrate web mining with the company site goals in order to make sites more competitive.

2. Query online process 4 COC Query Processing The complete COC query process is clearly divided in two phases: The offline modelling and indexing process carried out by the web crawler and the online process carried out by the query input component, the search engine and the clustering component. FIS-CRM algorithms are used in the first phase in the same way FISS uses them to represent the snippets and are explained in detail in [15]. The only difference is that, in the system presented in this work, FIS-CRM is applied to model the whole web pages instead of the snippets retrieved by the search engine.

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