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�...

Bibliographic details on Web log data clustering for a multi-agent recommendation system.

Implicit web usage data is sparse and noisy and cannot be used for usage clustering unless passed through a sophisticated pre-processing phase.

Abstract— This paper presents a Multi-Agent approach to the problem of recommending training courses to engineering professionals. The recommendation system�...

Abstract Due to the large amount of pages in Websites it is important to collect knowledge about users' previous visits in order to provide patterns that�...

This work presents the implementation and evaluation of a clustering algorithm based on a multi-agent system, which automatically detects the number of groups.

The paper is devoted to an overview of multi-agent principles, methods, and technologies intended to adaptive real-time data clustering.

Implicit web usage data is sparse and noisy and cannot be used for usage clustering unless passed through a sophisticated pre-processing phase.

Recommender systems are of great significance for mining the data generated by the Internet of Things (IoT) and are important for the intelligent IoT Systems.

Feb 4, 2022 � Clustering approach for hybrid recommender system. In Proceedings IEEE/WIC. International Conference on Web Intelligence (WI 2003), pages 33–38.