Abstract In the past researches, two types of algorithms are introduced that are query dependent and query independent, works online or offline. PageRank Algorithm works offline independent to query while Hyperlink-Induced Topic Search (HITS) algorithm woks online dependent on query. One of the problems of these algorithms is that, division of the rank is based on number of inlinks, outlinks and different parameters used in hyperlink analysis which is dependent or independent to webpage content with the problem of topic drift. Previous researches were focused to solve this problem using the popularity of the outlink webpages. In this paper a novel algorithm for popularity measure is proposed based on similarity between query and Hierarchical text extracted from source and target webpage using Hyper Text Markup Language (HTML) tags importance parameter. In this paper, result of proposed method is compared with PageRank Algorithm and Topic Distillation with Query Dependent Link Connections and Page Characteristics results.

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[21] Zhang Y., Xiao L., and Fan B., The Research about Web Page Ranking Based on the A- PageRank and the Extended VSM, in Proceedings of 5th IEEE International Conference on Fuzzy Systems and Knowledge Discovery, Shandong, pp. 223-227, 2008. Dilip Sharma is B.E.(CSE), M.Tech. (CSE) and Ph.D in Computer Engineering. He is Senior Member of IEEE, IEEE-CS, IEEE- WIEand Member of ACM, CSTA, USA and also life member of CSI, IETE, ISTE, IE, ISCA, SSI. He has published 72 research papers in International Journals /Conferences of repute and participated in 3 International/National conferences. He is consistently Conferred Significant Contribution Award by Computer Society of India in 47th and 48thCSI National Convention at Science City, Kolkata and Visakhapatnam, India. Presently he is working as Programme Coordinator (CSE) and Associate Professor in Department of Computer Engineering & Applications, GLA University, Mathura, U.P, India. He is Joint Secretary IEEE Uttar Pradesh Section and also Vice Chairman of Computer Society of India Mathura Chapter. His research interests are Web Information Retrieval and Software Engineering. Deepak Ganeshiya received his B.Tech degree in Computer Science and Engineering from UPTU Lucknow, India in the year 2009 and M.Tech degree in Computer Science and Engineering from GLA University Mathura, India in the year 2014. During M.Tech his active area of research is Web information retrieval. He has three years of experience in the field of development of various e-governance projects.