Reconciling the Website Structure to Improve the Web Navigation Efficiency

 Abstract—The www grows tremendously. It increases the complexity of web applications and web navigation. 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 visitors to the web site. 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.

[1]  Philip S. Yu,et al.  SpeedTracer: A Web Usage Mining and Analysis Tool , 1998, IBM Syst. J..

[2]  Cyrus Shahabi,et al.  Knowledge discovery from users Web-page navigation , 1997, Proceedings Seventh International Workshop on Research Issues in Data Engineering. High Performance Database Management for Large-Scale Applications.

[3]  Philip S. Yu,et al.  Data mining for path traversal patterns in a web environment , 1996, Proceedings of 16th International Conference on Distributed Computing Systems.

[4]  Nikolaos Avouris,et al.  Adaptive Interaction with Web Sites: an Overview of Methods and Techniques , 2002 .

[5]  이창민 Human Interface , 2009, Encyclopedia of Database Systems.

[6]  Ji-Hyun Lee,et al.  An adaptive website system to improve efficiency with web mining techniques , 2004, Adv. Eng. Informatics.

[7]  May Wang,et al.  Web Structure Reorganization to Improve Web Navigation Efficiency , 2007, PACIS.

[8]  Jiawei Han,et al.  Discovering Web access patterns and trends by applying OLAP and data mining technology on Web logs , 1998, Proceedings IEEE International Forum on Research and Technology Advances in Digital Libraries -ADL'98-.

[9]  Ramakrishnan Srikant,et al.  Mining web logs to improve website organization , 2001, WWW '01.

[10]  Cyrus Shahabi,et al.  Analysis and design of server informative WWW-sites , 1997, CIKM '97.

[11]  Hendrik Blockeel,et al.  Web mining research: a survey , 2000, SKDD.

[12]  Jaideep Srivastava,et al.  Web usage mining: discovery and applications of usage patterns from Web data , 2000, SKDD.

[13]  Alan Dix The human interface , 1994 .

[14]  Ali A. Ghorbani,et al.  Toward An Adaptive Web: The State of the Art and Science , 2003 .

[15]  Hiroki Kato,et al.  Discovering the gap between Web site designers' expectations and users' behavior , 2000, Comput. Networks.