Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5581017
