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Enhancement in Next Web Page Recommendation with the help of Multi- Attribute Weight Prophecy
Authors(5) :-Prof. Umesh A. Patil, Avinash Kunnure, Vaibhav Herwade, Vijaykumar Dawarpatil, Satyawan Magar
In Today internet world has increasing number of websites so itâ€™s the big task to get accurate data from large numbers of website. The web data mining is one of the challenging task .While performing the web page prediction pre-processing of the data from a web site. The necessity for predicting the userâ€™s needs in order to enhance the usability and user maintenance of a web site is more than marked now a dayâ€™s lacking proper guidance, a visitor often wanders aimlessly without visiting significant pages, loses attention, and leaves the site earlier than expected. When they access the network, a large amount of data is generated and is stored in Web log files which can be used efficiently as many times user frequently searched the same type of Web pages recorded in the log files. These sequence can be considered as a web access pattern, valuable to find the user behavior Through this custom-made information, itâ€™s quite easy to forecast the next set of pages user might visit based on the previously searched patterns, thereby reducing the browsing time of a user.
Prof. Umesh A. Patil, Avinash Kunnure, Vaibhav Herwade, Vijaykumar Dawarpatil, Satyawan Magar
Web usages mining, recommendation, web log analysis, session based predication, K-NN algorithm
- Arvind Verma, Balwant Prajapat, “User Next Web Page Recommendation using Weight based Prediction” , International Journal of Computer Applications (0975 8887) Volume 142, No. 11, May 2016.
- Srinivas, P. V. S. Srinivas, A. Govardhan, V. Valli Kumari, “Periodic Web Personalization for Meta Search Engine”, IJCST Vol. 2, Issue 4, Oct-Dec. 2011
- Neha Sharma & Pawan Makhija, Web usage Mining: A Novel Approach for Web user Session Construction, Global Journal of Computer Science and Technology: E Network, Web & Security, Vol. 15, Issue 3, 2015.
- Haidong Zhong, Shaozhong Zhang, Yanling Wang, Shifeng Weng and Yonggang Shu, “Mining Users Similarity from Moving Trajectories for Mobile Ecommerce Recommendation, International Journal of Hybrid Information Technology Vol.7, No.4, pp.309-320, 2014.
- Zahid Ansari, A. Vinaya Babu, Waseem Ahmed and Mohammad Fazle Azeem, “A Fuzzy Set Theoretic Approach to Discover User Sessions from Web Navigational Data”, IEEE Recent Advances in Intelligent Computational Systems.
- Petrovi?, P. Perkovi? and I. Štajduhar, “A Profile- and Community-Driven Book Recommender System, 38th International Convention on Information and Communication Technology, Electronics and Microelectronics(MIPRO), 2015.
- Lina Yao and Quan Z. Sheng, Aviv Segev, Jian Yu, “Recommending Web Services via Combining Collaborative Filtering with Content-based Features”, IEEE 20th International Conference on Web Services,2013.
- Quanyin Zhu, Hong Zhou, Yunyang Yan, Jin Qian and Pei Zhou, “Commodities Price Dynamic Trend Analysis Based on Web Mining”, Third International Conference on Multimedia Information Networking and Security, 2011.
Published in : Volume 3 | Issue 3 | March-April 2017
Date of Publication : 2017-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 304-309
Manuscript Number : IJSRST173395
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Prof. Umesh A. Patil, Avinash Kunnure, Vaibhav Herwade, Vijaykumar Dawarpatil, Satyawan Magar, "Enhancement in Next Web Page Recommendation with the help of Multi- Attribute Weight Prophecy", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 3, pp.304-309, March-April-2017
URL : http://ijsrst.com/IJSRST173395