Computer Networks: The International Journal of Computer and Telecommunications Networking
A coherent measurement of web-search relevance
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Mining personalization interest and navigation patterns on portal
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Mobile Networks and Applications
A hybrid approach for personalized recommendation of news on the Web
Expert Systems with Applications: An International Journal
Measuring temporal redundancy in sequences of video requests in a News-on-Demand service
Telematics and Informatics
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With an ever-increasing emphasis on human activity (idea exchange, shopping, gaming, etc.) being mediated through the data network, the understanding of Internet users' behavior has become a rising challenge. Research dealing with the analysis and modeling of Internet user behavior can be roughly split in to two main approaches. The first is based on sociocognitive observation of users' practices in a standardized context. The second approach focuses on the analysis of productions and the traces of users' activity. This paper relates to the latter approach and presents a comparative analysis of Internet navigation traces (URLs versus keywords) to characterize individual or group-of-users' behavior when accessing the Web. The proposed models are based on the study of accesses redundancy seen as global static parameters and from the angle of time evolution. We also study the use of these models, in particular, to categorize a population of users in communities of interests. This study enables us to draw some conclusions on the compared performances of the two kinds of trace exploitation, as raw information, as well as the self-similar properties of the models.