Multiuser Webpage Revisitation

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2019 by IJETT Journal
Volume-67 Issue-5
Year of Publication : 2019
Authors : Shenara Nazar , Neethu Babu , K T Mariya , Shyam Krishna K
  10.14445/22315381/IJETT-V67I5P202

MLA 

MLA Style: Shenara Nazar , Neethu Babu , K T Mariya , Shyam Krishna K "Multiuser Webpage Revisitation" International Journal of Engineering Trends and Technology 67.5 (2019): 7-12.

APA Style: Shenara Nazar , Neethu Babu , K T Mariya , Shyam Krishna K (2019). Multiuser Webpage Revisitation International Journal of Engineering Trends and Technology, 67(5), 7-12.

Abstract
Web applications are providing vast informations to users in fraction of seconds. Web Revisitation is a web application that helps users to refind the previously viewed web pages using page URL. A web page can be localized by a fixed url, and displays the page content as time-varying snapshot. Web revisitation is the process of automatically getting back to the previous visited web pages based on user’s behaviour and preferencesIt is an important matter in web development framework as it saves many cost and time of the user. Our proposed web revisitation exhibits some form of artificial intelligence by providing memorization techniques of context queries and content queries. There is a relevant feedback system which collects users feedback through thorough analysis of his usage and storing their preferences. We also include a cache memory mechanism in which each page is given a particular score. On each revisitation the score is incremented and updated. Once it reaches beyond the threshold score it is placed into the cache memory and hence can be retrieved easily. Thus our system increases the efficiency of web page revisitation

Reference
[1] C. E. Kulkarni, S. Raju, and R. Udupa. Memento: unifying content and context to aid webpage re-visitation. In UIST, pages 435–436, 2010
[2] Mayer, M. Web History Tools and Revisitation Support: A Survey of Existing Approaches and Directions. In Foundations and Trends in Human-Computer Interaction, Mar 2009.
[3] Rainie, L. and Shermak, J. Search engine use, Pew Internet & American Life Project, Washington DC, 2005.
[4] Rizzo, F. et al. Evaluating the semantic memory of web interactions in the xMem project, In Proc. AVI 2006 .
[5] Personal Web Revisitation by Context and Content Keywords with Relevance Feedback Li Jin, Gangli Liu, Chaokun Wang and Ling Feng, Senior Member, IEEE,2017.
[6] J. Hailpern, N. Jitkoff, A. Warr, K. Karahalios, R. Sesek, and N. Shkrob. Youpivot: improving recall with contextual search. In CHI, pages 1521–1530, 2011.
[7] S. S. Won, J. Jin, and J. I. Hong. Contextual web history: using visual and contextual cues to improve web browser history. In CHI, pages 1457–1466, 2009.
[8] I. Ruthven and M. Lalmas. A survey on the use of relevance feedback for information access systems. Knowledge Engineering Review, 18(2):95–145, 2003.
[9] Pavlos Kokosis Vlassis Krikos Sofia Stamou Dimitris Christodoulakis, HiBO: A System for Automatically Organizing Bookmarks, IEEE.

Keywords
Revistation, cache, crawling, relevance feedback