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In this Modern world www grows tremendously. It increases the complexity of web applications and web navigation. Existing website systems are not easier for user to extract information and having some shortcomings. To enhance these shortcomings we propose a new reconciling website system. Recommendations play an important role towards this direction. Our Recommendation is based on user Browsing patterns. Our approach presents a comprehensive overview of web mining methods and techniques used for the evaluation of reconciling systems to achieve better web navigation efficiency in order to improve the efficiency of web site. It integrates and coordinates among different reasons for making recommendations including frequency of access, and patterns of access by user to the web site. It is new way to increase the efficiency of web site system using web mining techniques We are not argue the structure or content of the web site but we recommended to web site developer. Our proposed techniques are achieved better web navigation efficiency and it is highly effective from existing one.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |