Web log data clustering for a multi-agent recommendation system

Author

Xavier, Joao C. ; Freitas, Alex A. ; Canuto, Anne M P ; Gonçalves, Luiz M G

Author_Institution

Comput. & Autom. Eng. Dept., Fed. Univ. of Rio Grande do Norte, Natal, Brazil

Volume

1

fYear

2010

fDate

11-14 July 2010

Firstpage

471

Lastpage

476

Abstract

In this paper, we propose an automatic way of recommending information to be visualized by users. The list of information to be recommended is generated based on the web logs of the users stored by the system in a multi relational database. This system is a web-based multi-agent system which provides geographical information and monitors the actions of the users by generating logs. Frequently, the system joins the relational web log data and runs a clustering algorithm in order to recommend a list of most accessed information up to that moment to registered users who log in the system.

Keywords

geographic information systems; multi-agent systems; pattern clustering; recommender systems; relational databases; Web log data clustering; clustering algorithm; geographical information; multiagent recommendation system; multirelational database; recommending information; Clustering algorithms; Data mining; Geographic Information Systems; Indexes; Monitoring; Relational databases; Sea measurements; Multi-agent system; Relational clustering; Web log;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2010 International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-6526-2

Type

conf

DOI

10.1109/ICMLC.2010.5581017

Filename

5581017