Linear Regression Feature and Frog Leaping Algorithm based Web Page Recommendation

Website content and services attract surfers to visit page. Random visitor or first time need more user suggestion for increasing the retaining of user. This work has worked in field web page prediction as per previous visits. Web mining logs features were further processed extract linear regression feature from work. Extracted used testing phase. Frog leaping genetic algorithm was population generation possible prediction. Experiment done on real dataset extracted projecttunnel.com website. Results compared with existing models it obtained that Page Prediction Leaping Algorithm (WPPFLA) model improved performance respect precision value, accuracy, Fitness measure Metric values.