%0 Journal Article %1 shaileshksapproach %A S, Shailesh K %A Suresh2, P. V. %D 2017 %J International Journal of Computer Science & Information Technology (IJCSIT) %K Caching Engineering Optimization Performance Personalized Web acceleration strategy web %N 1 %P 67 - 84 %R 10.5121/ijcsit.2017.9106 %T PPO - An Approach to Personalized Web Acceleration %U https://aircconline.com/ijcsit/V9N1/9117ijcsit06.pdf %V 9 %X Personalized web is used in all functional domains. Personalized web consists of private pages and pages which personalize the content, data and information based on user’s context and preferences. Personalization engines use users’ implicit and explicit feedback to personalize the user experience and information. While the personalization drives the user satisfaction levels, it also has performance side effects. Traditional web performance optimization methods fall short of improving the performance of personalized web due to privacy and security concerns and due to the dynamic nature of the data. In this paper we have tried to address this crucial issue by discussing various aspects of personalized performance optimization algorithms. We have discussed a novel approach using “Personalization performance Optimization” (PPO) framework that has resulted in 30% increase in page response times and 35% increase in cache hit ratio during our experiments.

@article{shaileshksapproach, abstract = {Personalized web is used in all functional domains. Personalized web consists of private pages and pages which personalize the content, data and information based on user’s context and preferences. Personalization engines use users’ implicit and explicit feedback to personalize the user experience and information. While the personalization drives the user satisfaction levels, it also has performance side effects. Traditional web performance optimization methods fall short of improving the performance of personalized web due to privacy and security concerns and due to the dynamic nature of the data. In this paper we have tried to address this crucial issue by discussing various aspects of personalized performance optimization algorithms. We have discussed a novel approach using “Personalization performance Optimization” (PPO) framework that has resulted in 30% increase in page response times and 35% increase in cache hit ratio during our experiments.}, added-at = {2020-05-20T14:00:32.000+0200}, author = {S, Shailesh K and Suresh2, P. V.}, biburl = {https://www.bibsonomy.org/bibtex/246e65d4cbfe27d682802e7963361c958/shamerjose}, doi = {10.5121/ijcsit.2017.9106}, interhash = {7a789dd9e9e196e7f7867bba8f14b681}, intrahash = {46e65d4cbfe27d682802e7963361c958}, journal = {International Journal of Computer Science & Information Technology (IJCSIT) }, keywords = {Caching Engineering Optimization Performance Personalized Web acceleration strategy web}, month = feb, number = 1, pages = {67 - 84}, timestamp = {2020-05-20T14:01:33.000+0200}, title = {PPO - An Approach to Personalized Web Acceleration}, url = {https://aircconline.com/ijcsit/V9N1/9117ijcsit06.pdf}, volume = 9, year = 2017 }