A Model for Users' Action Prediction Based on Locality Profiles

  • Tarmo RobalEmail author
  • Ahto KaljaEmail author


In this chapter we propose a model for predicting users' next page requests. The model is based on the recognition and mining of navigational paths and patterns users typically follow. A special access log system is employed and techniques of web mining are used. Experimental results with developed prediction model are presented.


Locality Model User Session Locality Profile Page Request Prediction Engine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We appreciate the support of Estonian Information Technology Foundation, Doctoral School in ICT (Measure 1.1 Estonian NDP), and the ETF grant no. 5766.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Department of Computer EngineeringTallinn University of TechnologyEstonia

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