Review and Analysis of Machine Learning and Soft Computing Approaches for User Modeling

Madhuri Potey, Pradeep K Sinha
2015 International journal of Web & Semantic Technology  
The adequacy of user models depends mainly on the accuracy and precision of information that is retrieved to the user. The real challenge in user modelling studies is due to the inadequacy of data, improper use of techniques, noise within the data and imprecise nature of human behavior. For the best results of user modelling, one should choose an appropriate way to do it i.e. by selecting the best suitable approach for the desired domain. Machine learning and Soft computing Techniques have the
more » ... bility to handle the uncertainty and are extensively being used for user modeling purpose. This paper reviews various approaches of user modeling and critically analyzes the machine learning and soft computing techniques that have successfully captured and formally modelled the human behavior.
doi:10.5121/ijwest.2015.6104 fatcat:q43eezsnr5epredqr7xuhid3i4