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Navigation behaviour is described by mean of first biological principles: The neurophysiology of decision making.
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![Web User Behavior Analysis Doctorado en Sistemas de Ingeniería, Universidad de Chile. Prof. Guía: Juan D. Velásquez Pablo E. Román [email_address]](https://image.slidesharecdn.com/defensav11-13058478039245-phpapp02-110519183838-phpapp02/85/Defensa-V11-1-320.jpg)
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- 1. Web User Behavior Analysis Doctorado en Sistemas de Ingeniería, Universidad de Chile. Prof. Guía: Juan D. Velásquez Pablo E. Román [email_address]
- 8. The Thesis Proposal Web Intelligence A.I. in the Web Web Mining Knowledge Representation Advanced Inf Tech. in the Web Agent Ubiquitous Sys. Wireless Sys. Grid & Cloud Sys. Social Network Web Structure Mining Web Content Mining Web Usage Mining Web user neurocomputing Neurophysiology model for the analysis of the behavior discovering pattern of web user navigational behavior from the set of user’ trails
- 14. Web data: Web logs (Usage)
- 15. Web data: Content (text, object,..) You can put anything you want on a Web page, from family to business info…. Hyperlink structure
- 16. Web Data: Hyperlink structure
- 20. Traditional heuristic for sessionization How to identify individual web users? Filtering: IP+Browser(Agent) Timeout of 30 minute Path completion: shortest path backward
- 23. Integer Program ~ Maximize the number of sessions. ( WI-IAT08, KES09 P. Roman et al ) Register used once One register on o Structure and time
- 27. A large scale experiment evaluation: F-Score over cookie retrieved sessions. Compared with 15 months of cookie retrieval Method Precision Recall F-Score Time Sessionization Integer Programming (SIP) 0.7788 0.6696 0.7201 6 Hour Network Flow (BCM) 0.7777 0.6671 0.7182 4 Min Canonical Sessionization 0.5091 0.6996 0.5993 1 Min
- 41. The Fokker-Planck equation: probability density of not reaching a decision (AWIC09 P. Roman et al) . Never reach a decision in t’<t Neural activity is positive Neural activity is initially near to 0 Probability density
- 42. The probability of reaching a decision in time t. The probability of deciding option “j” in time “t”
- 43. Unconstrained exact solution Hermite Polinomials Exact solution (Ornstein-Uhlenbeck)
- 47. Simulation algorithm: Deciding which link to follows.
- 56. Distribution of number of links per page.
- 67. Conclusions & Future Work
- 75. Thanks you for your attention.
Editor's Notes
- Explicar en 1 minuto explicar lo que es web user analysis.
- Sessions en no + de 6 slide