publication . Preprint . 2014

Analysing Parallel and Passive Web Browsing Behavior and its Effects on Website Metrics

von der Weth, Christian; Hauswirth, Manfred;
Open Access English
  • Published: 21 Feb 2014
Comment: 22 pages, 11 figures, 3 tables, 29 references. arXiv admin note: text overlap with arXiv:1307.1542
free text keywords: Computer Science - Human-Computer Interaction, Computer Science - Information Retrieval, H.1.2, H.5.3, H.5.4
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28 references, page 1 of 2

[1] E. Adar, J. Teevan, and S. T. Dumais. Large Scale Analysis of Web Revisitation Patterns. In Proceedings of the 26th Annual SIGCHI Conference on Human Factors in Computing Systems, CHI '08, pages 1197-1206, New York, NY, USA, 2008. ACM. [OpenAIRE]

[2] E. Agichtein, E. Brill, and S. Dumais. Improving web Search Ranking by Incorporating User Behavior Information. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '06, pages 19-26, New York, NY, USA, 2006. ACM.

[3] S. M. Beitzel, E. C. Jensen, A. Chowdhury, O. Frieder, and D. Grossman. Temporal Analysis of a Very Large Topically Categorized Web Query Log. Journal of the American Society for Information Science and Technology, 58(2):166-178, Jan. 2007.

[4] M. Bilenko and R. W. White. Mining the search trails of surfing crowds: Identifying relevant websites from user activity. In Proceedings of the 17th International Conference on World Wide Web, WWW '08, pages 51-60, New York, NY, USA, 2008. ACM.

[5] O. Chapelle and Y. Zhang. A dynamic bayesian network click model for web search ranking. In Proceedings of the 18th International Conference on World Wide Web, WWW '09, pages 1-10, New York, NY, USA, 2009. ACM.

[6] P. Dubroy and R. Balakrishnan. A Study of Tabbed Browsing Among Mozilla Firefox Users. In Proceedings of the 28th International Conference on Human Factors in Computing Systems, CHI '10, pages 673-682, New York, NY, USA, 2010. ACM. [OpenAIRE]

[7] I. Fette and A. Melnikov. The WebSocket Protocol. RFC 6455, Internet Engineering Task Force,, 2011.

[8] S. Goel, J. M. Hofman, and M. I. Sirer. Who Does What on the Web: A Large-scale Study of Browsing Behavior. In Proceedings of the 6th International Conference on Weblogs and Social Media, ICWSM'12.

[9] L. K. J. Grace, V. Maheswari, and D. Nagamalai. Web Log Data Analysis and Mining. In N. Meghanathan, B. K. Kaushik, and D. Nagamalai, editors, Advanced Computing, volume 133 of Communications in Computer and Information Science, pages 459-469. Springer Berlin Heidelberg, 2011. [OpenAIRE]

[10] B. Hawwash and O. Nasraoui. Mining and Tracking Evolving Web User Trends From Large Web Server Logs. Statistical Analysis and Data Mining, 3(2):106-125, Apr. 2010. [OpenAIRE]

[11] E. Herder, R. Kawase, and G. Papadakis. Experiences in Building the Public Web History Repository. In Proceedings of Datatel Workshop at the Alpine Rendez-Vous, 2011.

[12] A. T. Holdener, III. Ajax: The Definitive Guide. O'Reilly, first edition, 2008.

[13] Y. Hu, Y. Koren, and C. Volinsky. Collaborative Filtering for Implicit Feedback Datasets. In Proceedings of the 2008 Eighth IEEE International Conference on Data Mining, ICDM '08, pages 263-272, Washington, DC, USA, 2008. IEEE Computer Society.

[14] J. Huang, T. Lin, and R. W. White. No Search Result Left Behind: Branching Behavior With Browser Tabs. In Proceedings of the 5th ACM International Conference on Web Search and Data Mining, WSDM '12, pages 203-212, New York, NY, USA, 2012. ACM.

[15] M. Kellar, C. Watters, and M. Shepherd. The Impact of Task on the Usage of Web Browser Navigation Mechanisms. In Proceedings of Graphics Interface 2006, GI '06, pages 235-242, Toronto, Ont., Canada, Canada, 2006. Canadian Information Processing Society.

28 references, page 1 of 2
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