Swarm Intelligence Based Optimization for Web Usage Mining in Recommender System

Abstract

Nowadays, the web has become one of the most effective and efficient platform for information change and retrieval .Due to heterogeneity and unstructured nature of the data available on the WWW, web mining uses various data mining techniques to discover useful knowledge from web hyperlinks, page content and usage log. This research introduces the theoretical foundations of Swarm Intelligence and Design, implementation of swarm optimization algorithm. The Swarm Intelligence optimization and data mining technique can be used together to form a method which often leads to the result. Design and implementation of a web mining system based on multi-agents technology will reduce the information overload and search depth. This is helpful to users using the web within a platform for e-commerce or e-learning.Swarm Intelligence is an efficient technology that deals with natural and artificial system. It provides an efficient way for finding optimal solution. During the past few decades researches are trying to use these techniques to solve many problems in various fields. Recommender System is the one of the most important application of e-commerce and it plays vital role in understanding the user's behaviour or interest by which it increases the profit of sales or usage of services of website. This paper describes a swarm intelligence optimization for web mining to find the optimal solution and based on that process is done.