Automatic personalization based on Web usage mining
Communications of the ACM
Design time support for adaptive behavior in Web sites
Proceedings of the 2003 ACM symposium on Applied computing
User - interface agent interaction: personalization issues
International Journal of Human-Computer Studies
AdROSA-Adaptive personalization of web advertising
Information Sciences: an International Journal
MAPIS, a multi-agent system for information personalization
Information and Software Technology
Categorize web sites based on design issues
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: users and applications - Volume Part IV
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Currently providers are trying to personalize their websites according to user profiles. With respect to the wide variety and great volume of websites, providers look for a design that is more attractive than that of competitors. They look for a unique solution. In this uniqueness, any point such as design, user-friendliness, and content offered to the customer plays a key role in its success. The main objective of this study is to provide profiles of different kinds of users. Later on, this information can be used to design appropriate websites. This kind of information can be explored from social networks. We obtained a dataset of 500 users and we have clustered this dataset to 12 clusters, and then applied Collaborative Filtering on user data to improve the results. The paper will present the corresponding results and provide an interesting overview of different profiles of users in different parts of the world.