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Skryptowy system monitorowania zachowań użytkowników serwisów www

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Warianty tytułu
EN
Script system of behaviours monitoring of www-services users
Języki publikacji
PL
Abstrakty
EN
A user's interest in web pages can be estimated explicitly by querying his preferences or implicitly by observing his behaviors. Implicit methods are by nature less accurate than explicit methods, but they don't require any effort from user. Most of the previous studies used click stream data to infer user's interest. Starting with analysis of previous studies in web browsing behaviours, this study presents WBBM system for evaluating such behaviours. For purpose of these study author developed script-based system for monitoring web users activities. These system unobtrusively monitor low level activities at client-side and sends them to server. Results of experimental evaluation WBBM system has been also presented.
Rocznik
Tom
Strony
77--87
Opis fizyczny
Bibliogr. 14 poz., tab., wykr.
Twórcy
autor
  • zakłąd Technologii Informacyjnych w Zarządzaniu, Wydział Nauk Ekonomicznych i Zarządzania, Uniwersytet Szczeciński, Szczecin, tomasz.zdziebko@wneiz.pl
Bibliografia
  • 1.Catledge L.D., Pitkow J.E., Characterizing Browsing Strategies in the World-Wide Web, Proceedings of the Third International World-Wide Web conference on Technology, tools and applications, 1995.
  • 2.Claypool M, Le P., Wased M., and Brown, D., Implicit interest indicators, In Proc. 6th International Conference on Intelligent User Interfaces, 2001.
  • 3.Goecks J., Shavlik J., Learning users' interests by unobtrusively observing their normal behavior., In Proc. 5th International Conference on Intelligent User Interfaces, 2000.
  • 4.Granka L.A., Joachims T., Gay, G., Eye-tracking analysis of user behavior in WWW search., In Proc. 27th Annual International Conference on Research and Development in Information Retrieval, 2004.
  • 5.Kim H., and Chan P.P., Implicit Indicators for Interesting Web Pages. Proc. Intl. Conf. on Web Information Systems and Technologies, pp. 270-277, 2005, pp. 270-277.
  • 6.Jung K.: Modeling web user interest with implicit indicators, Master Thesis, Florida Institute of Technology, 2001.
  • 7.Kim H., Chan P.K., Learning implicit user interest hierarchy for context in personalization., In International Conference on Intelligent User Interfaces, 2003.
  • 8.Mobasher B., Dai H., Luo T., Nakagawa M., Effective Personalization Based on Association Rule Discovery from Web Usage Data, Web Information and Data Management, 2005.
  • 9.Opera, http://my.opera.com/hallvors/blog/show.dml/217592, 12.07.2006 .
  • 10.Peter-Paul Koch site, http://www.quirksmode.org/js/support.html, 07.2007.
  • 11.Speretta M., Gauch S., Personalizing Search Based on User Search Histories, Thirteenth International Conference on Information and Knowledge Management (CIKM 2004), 2004.
  • 12.Velayathan G., Yamada S., Can We Find Common Rules of Browsing Behavior?, 6th International World Wide Web Conference, 2007.
  • 13.Watson A., Sasse M.A., Measuring perceived quality of speech and video in multimedia conferencing applications, In Proc. ACM Multimedia Conference, 1998.
  • 14.Weinreich H., Obendort H., Herder E., Mayer M., Exploring Three Aspects of Web Navigation, WWW Conference 2006, ACM Press, 2006.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUS6-0028-0062
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