{"title":"A Web Designer Agent, Based On Usage Mining Online Behavior of Visitors","authors":"Babak Abedin, Babak Sohrabi","volume":6,"journal":"International Journal of Economics and Management Engineering","pagesStart":287,"pagesEnd":292,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/14487","abstract":"
Website plays a significant role in success of an e-business. It is the main start point of any organization and corporation for its customers, so it's important to customize and design it according to the visitors' preferences. Also, websites are a place to introduce services of an organization and highlight new service to the visitors and audiences. In this paper, we will use web usage mining techniques, as a new field of research in data mining and knowledge discovery, in an Iranian government website. Using the results, a framework for web content layour is proposed. An agent is designed to dynamically update and improve web links locations and layout. Then, we will explain how it is used to directly enable top managers of the organization to influence on the arrangement of web contents and also to enhance customization of web site navigation due to online users' behaviors.<\/p>\r\n","references":"[1] Kim,Wooju. Song,Yong U. Hong ,June S. \"Web enabled expert systems\r\nusing hyperlink-based inference (Accepted for publication)\". Expert\r\nSystems with Applications. 2004. pp:1-13\r\n[2] Michele Facca, Federico. Luca Lanzi, Pier. \"Mining interesting\r\nknowledge from web logs: a survey\". Data & Knowledge Engineering.\r\nAccepted for publication. 2004\r\n[3] Hsu, Jeffrey. \"Data mining trends and developments: The Key Data\r\nMining Technologies and Applications for the 21st Century\". Proc. of\r\nISECON 2002\r\n[4] Chakrabarti, Soumen. \"Mining the web discovering knowledge form\r\nhypertext data\". San Francisco, CA. Morgan Kaufmann Publishers An\r\nimprint of Elsevier Science 2003. pp: 1-13\r\n[5] Arotaritei, Dragos. Mitra, Sushmita. \"Web mining: a survey in the fuzzy\r\nframework\". Fuzzy Sets and Systems: vol. 148, 2004. pp: 5-19\r\n[6] Larsen, Jan. Lars Hansen, Kai. Szymkowiak Have, Anna. Christiansen,\r\nTorben. Kolenda, Thomas. \"Webmining: learning from the World Wide\r\nWeb\". Computational Statistics & Data Analysis. 38. 2002. pp: 517-532\r\n[7] Eirinaki, Magdalini. Vazirgiannis, Michalis. \"Web Mining for Web\r\nPersonalization\". ACM Transactions on Internet Technology: vol. 3, no.\r\n1, 2003. pp: 1-27.\r\n[8] DeYoung, Colin G. Spence, Ian. \"Profiling information technology\r\nusers: en route to dynamic personalization\". Computers in Human\r\nBehavior.. Vol. 20. 2004. pp: 55-65\r\n[9] Cooley, R. Mobasher , B. and Srivastava, J. Web Mining: Information\r\nand Pattern Discovery on the World Wide Web. Proc of the 9th IEEE\r\nInt'l Conf. on Tools with Artificial Intelligence (ICTAI'97), 1997.\r\n[10] Mobasher, B. Jain, N. Han, Eui Hong (Sam). Srivastava, J. \"Web\r\nMining: Pattern Discovery from World Wide Web Transactions\".\r\nTechnical Report TR96-050, Department of Computer Science,\r\nUniversity of Minnesota, 1996.\r\n[11] Theusinger, Christiane . Huber, Klaus-Peter. Analyzing the footsteps of\r\nyour customers. Sixth ACM SIGKDD Internat. Conf. on Web KDD\r\n2000.\r\n[12] Ho Cho, Yoon. Kyeong Kim, Jae. Hie Kim, Soung. \"A personalized\r\nrecommender system based on web usage mining and decision tree\r\ninduction\". Expert Systems with Applications 23 .2002. 329-342\r\n[13] Srivastava, Jaideep. Cooley, Robert. Deshpande, Mukund. Tan, Pang-\r\nNing. \"Web Usage Mining: Discovery and applications of usage\r\npatterns from web data\". SIGKDD Explorations. ACM SIGKDD. Vol 1.\r\nIssue 2, 2000. pp: 12-23\r\n[14] Albanese. Massimiliano, Picariello. Antonio, Sansone. Carlo,\r\nSansone.Lucio, \"A Web Personalization System based on Web Usage\r\nMining Techniques\". WWW2004, New York, USA. May 2004. pp:\r\n288-289\r\n[15] R. Kosala, H. Blockeel, \"Web mining research: a survey\", SIGKDD:\r\nSIGKDD explorations: newsletter of the special interest group (SIG) on\r\nknowledge discovery & data mining, ACM 2 (1). 2000. 1-15\r\n[16] Y. Ivory. Melody , R. Sinha. Rashmi, A. Hearst. Marti. \"Empirically\r\nValidated Web Page Design Metrics\". SIGCHI-01, Seattle, WA, USA.\r\nApril 2001. pp; 53-60\r\n[17] Jin. Xin, Zhou. Yanzan, Mobasher. Bamshad, \"Web Usage Mining\r\nBased on Probabilistic Latent Semantic Analysis\", KDD-04, Seattle,\r\nWashington, USA. Aug- 2004. pp: 197-205\r\n[18] J Decker, K., Sycara, K., Williamson, M., \"Matchmaking and\r\nBrokering\", In Proceedings of the second International Conference on\r\nMulti-Agent Systems, MIT Press\/ AAAI Press. 1996\r\n[19] Saeed M. H. \"Reinforcement learning in Multi-Agent Systems\" McGill\r\nuniversity School of computer Science. 2001","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 6, 2007"}