Communications of the ACM
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
ACM Computing Surveys (CSUR)
Automatic personalization based on Web usage mining
Communications of the ACM
A Generalization-Based Approach to Clustering of Web Usage Sessions
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
Particle Swarm Optimization Based Clustering of Web Usage Data
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
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Our work focuses on tackling the problem of efficiency and accuracy of web usage clustering for recommender systems. Accurate analysis and preprocessing of web usage data and efficient web usage clustering are the key factors that influence the development of clustering based implicit recommender system. We propose an analysis and preprocessing model to tackle the poor quality of web usage data. To address the problem of efficient web usage clustering, we propose a Particle Swarm Optimization (PSO) based clustering approach. Having shown our PSO based clustering performs well; we extend it for mining the usage behavior of web users. We select Java API (Application Programming Interface) documentation usage data as a case study for our recommender system.