A Hybrid Page Ranking Algorithm for Organic Search Results
M Usha · International Journal for Research in Applied Science and Engineering Technology · 2017
Page Ranking techniques are in use by search engines to rank the web pages in order of their importance and relevance to user query. Many algorithms for page ranking either focus on link-structure of the page or similarity of the page with the given query to calculate Page Rank values of the pages. These conventional algorithms never consider user interaction time while page ranking. Generally, Users only look at the first page of the SERP. They do not go beyond the first page. By considering these factors along with the existing page ranking algorithms, a new hybrid page rank algorithm is proposed. This work combines, Content Similarity with synonym based approach, Link Structure and user interaction time (number of clicks and time spent on web page) of the page, to calculate page ranking of the page. Using proposed work, user can get the most relevant web pages in the top of the result, without going deeper into the organic search engine results and this work will improve the order of the URL listed by the search engine.