Abstract
Primary goal of every search engine is to provide the sorted information according to user’s need. To achieve this goal, it employs ranking techniques to sort the Web pages based on their importance and relevance to user query. Most of the ranking techniques till now are either based upon Web content mining or link structure mining or both. However, they do not consider the user browsing patterns and interest while sorting the search results. As a result of which, ranked list fails to cater the user’s information need efficiently. In this paper, a novel page ranking mechanism based on user browsing patterns and link visits is being proposed. The simulated results show that the proposed ranking mechanism performs better than the conventional PageRank mechanism in terms of providing satisfactory results to the user.
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Sethi, S., Dixit, A. (2019). A Novel Page Ranking Mechanism Based on User Browsing Patterns. In: Hoda, M., Chauhan, N., Quadri, S., Srivastava, P. (eds) Software Engineering. Advances in Intelligent Systems and Computing, vol 731. Springer, Singapore. https://doi.org/10.1007/978-981-10-8848-3_4
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DOI: https://doi.org/10.1007/978-981-10-8848-3_4
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