Removing non-relevant links from top search results using feature score computation

Abstract

To promote website in search engine rankings in order to get better visibility and more traffic, search engine optimizers have to follow legal ways but some search engine optimizers manipulate the web pages and boost the irrelevant pages in search results and this leads to practice the problem of web spam. These malicious pages reduce the performance of the search engine. We innovates a method to override the irrelevant search results. In this paper a new approach is designed and developed to move non-deserving pages downward from list of results returned by search engine. The first step was to determine the importance of different page features used for the ranking of a page in search results. Based on this information the devised system identified the features in a page and assigned some weight to each feature. The user query i.e. search keyword, precision and ranking factor are used to calculate precision score of a page. This score is used to predict ranking position for each page. A comparison was made between original ranking positions and predicted ranking position of irrelevant web pages. From analysis of results of Google, accuracy of search results improved from 88% to 99% for the corpus compiled now.