A flowchart to reduce mutual reinforcement effect on web page ranking based on web strucuture mining
Rinkal Sardhara, Kamaljit I. lakhataria · 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA) · 2019
In this dynamic web it is very difficult task to find related and productive information. Bunch of pages with lots of information newly added and deleted from the web as it is dynamic in nature. Basically, Web mining divided into three categories web content mining, web structure mining and web usage mining. One of the important factor of web mining is Link analysis. Web structure mining plays a major role in link analysis. The main objective of web structure mining is to find significant search results. The google search engine uses PageRank algorithm which is based on web structure mining. Everyone knows that PageRank algorithm works on links, so web users creates links between web pages' weather that are related or not. The reason behind this link creation is to get higher page rank then other web pages. This problem is known as mutual reinforcement. In this paper author proposed flowchart which reduce the effect of mutual reinforcement. To reduce effect of mutual reinforcement author used different parameters like number of different domain inlinks, outlinks and reachability. We also compare the result of proposed flowchart with PageRank and WPR algorithm.