A new PSO methodology for web documents retrieval
C N Ramya, K. S. Shreedhara · 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) · 2017
This paper focuses on retrieval of web documents with improved response time and similarity using particle swarm optimization (PSO) technique. Since the nature of the web data is distributed, volatile and uncertain, an accurate and speedy access is required. Hence a novel approach on evolutionary bio-inspired Swarm Intelligence techniques to optimize search process in Web Information Retrieval systems is proposed and developed. Here, a novel algorithm has been proposed using basic PSO technique which works on both small CACM and huge RCV1 collections. This is applied on the pre-processed documents to retrieve most similar documents with a very less response time. This paper also reveals a comparative study with the existing method.