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International Journal of Management, Technology And Engineering ISSN NO : 2249-7455 else the overall user experiences a search engine will get can be divesting for a company’s value. This paper is designed as follows. First, and briefing of common ranking algorithms of search engines. Then, the updates which were released time to time on order to improve the search result competition as well as user experience. And finally, all the results are described. In the conclusion section our observations and interpretation of the results is presented and an overview towards future research is suggested. [1] RESEARCH OBJECTIVE The research objective was to understand factors that are accounted by Google Page Ranking algorithm and how important is any factor and in how much weightage. The following research is for understanding only and didn’t assure to give a final answer to any or all questions thoroughly, but is just a motivation to show in which direction an user should further go for search engine optimization.The following of the factors were analyzed: (1) Website’s backlinks count (2) Website's age (3) Website’s content and data relevancy (4) Website’s traffic (5) Keyword occurrence on website. (6) Website’s domain authority. So, our target is here to understand how these factors matter a website and in what weightage they affect a website and its ranking. Since search engines work on basic modes, namely a page rank or a hypertext induced topic search (HITS). The research paper objective was to analyses whether Google search engine crawls text from any figures, tables, videos or paragraphs used on any webpage.Google Page Rank was developed on a thesis that: A web page is important if it is pointed to by other important web pages. While, HITS work on a thesis that: A page is a good hub (and therefore deserves a high hub score) if it points to good authorities, and a page is a good authority if it is pointed to by good hubs[2]. The crawler plays a vital role in this process, as its prime role is to investigate all the information and recover it from the entire web. Crawler works in two phases, First, it finds a site or say discovery. Second, it investigates on the data available on site.To achieve more correct results for adrew in crawl, Smart Crawler positions locales to sort out extremely correlated site for a given subject. In the second stage, Smart Crawler achieves fast in-site arranging to unearth most noteworthy Volume 8, Issue X, OCTOBER/2018 Page No:1109PDF Image | Google Page Rank Algorithm and It’s Updates
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