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A Cluster based Probabilistic Model for Link Prediction to Improve User Interface over Internet
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 106 - Number 7 |
| Year of Publication: 2014 |
| Authors: Vivek Rawat, Sumit Vaashishtha |
10.5120/18532-9738
|
Vivek Rawat, Sumit Vaashishtha . A Cluster based Probabilistic Model for Link Prediction to Improve User Interface over Internet. International Journal of Computer Applications. 106, 7 ( November 2014), 18-22. DOI=10.5120/18532-9738
Abstract
Rapid growth of web application has increased the researcher's interests in today's world. The world hasbeen surrounded by the computer's network. There exists a very useful application call web application that is used for the purpose of communication and data transfer. An application that is accessed with the help of web browser over a network is called as the web application. Web caching is considered to be the well-known strategy for improving the performance of Web based system. This performance is improved by keeping the Web objects that are likely to be used in the near future in location that is closer to user. The Web caching mechanisms therefore are implemented at three levels namely: (i) client level, (ii) proxy level and (iii) original server level. Significantly, proxy servers play the vital roles between users and web sites in reducing the response time of user requests as well as saving of network bandwidth. Thus, for achieving the better response time, an efficient caching approach must be implemented in a proxy server. This paper further includes weighted rule mining concept, cluster based link prediction and Markov model for fast and frequent web pre fetching.
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