26224ab4184a136f282-65da 20221210045713643 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 12 30 2022 12 1 Research Scholar, Department of Computer Applications, M S Ramaiah Institute of Technology, (Affiliated to Visvesvaraya Technological University, Karnataka), Bangalore (Karnataka), India. Pavithra B. Dr. Niranjananmurthy M Department of Artificial Intelligence and Machine Learning, BMS Institute of Technology and Management (Affiliated to Visvesvaraya Technological University, Karnataka), Bangalore (Karnataka), India Website content and services attract surfers to visit page. Random visitor or first time visitor need more user suggestion for increasing the retaining of user. This work has worked in field of web page prediction as per user previous visits. Web mining logs and content features were further processed to extract the linear regression feature from the work. Extracted features were used for the page prediction in testing phase. Frog leaping genetic algorithm was used for the population generation and possible page prediction. Experiment was done on real dataset extracted from projecttunnel.com website. Results were compared with existing page prediction models and it was obtained that Web Page Prediction Frog Leaping Algorithm (WPPFLA) model has improved the work performance with respect to precision value, accuracy, Fitness measure and Metric values. 12 30 2022 32 37 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A9381.1212122 https://www.ijitee.org/portfolio-item/A93811212122/