@article{2411,
  author = {Shailesh Shivakumar, P.V Suresh},
  title = {PPO - An Approach to Personalized Web Acceleration},
  journal = {International Journal of Information Studies},
  year = {2018},
  volume = {10},
  number = {1},
  doi = {},
  url = {http://www.dline.info/ijis/fulltext/v10n1/ijisv10n1_3.pdf},
  abstract = {A responsive web page plays critical role in the overall success of the online channels. It directly impacts user experience and also influences the search engine rankings. Most of the web systems use personalized web to provide relevant and contextual information to web users. Personalized web provide content, data and functionality based on various personalization parameters such as user interests, user preferences, user profile attributes, location, device, user navigation patterns, purchase behavior and such. Personalized web is a key business enabler to drive the user traffic and keep the web users engaged by providing useful information. One of the main side effects of personalized web is on the performance. Traditional performance optimization techniques cannot be scaled and reused for personalized web due to the dynamics of the personalized content and due to security/privacy concerns. In addition to relevant content, web users would also expect good performance in personalization scenarios. Web
architecture needs to design for optimal performance in personalization scenarios for long-term success of web systems. 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.},
}