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Many new applications have been recently developed to satisfy users special needs on the web. In this context, we are interested in personalized systems and particularly in Personalized Multi-Agent Systems (PMAS) characterized by collective and intelligent resolution in a distributed and parallel environment. This work assesses personalization, the most important characteristic of interface in multi-agent...
This installment of Trends & Controversies provides an array of perspectives on the latest research in modeling user behavior. Peng Cui, Huan Liu, Charu Aggarwal, and Fei Wang introduce the field in "Uncovering and Predicting Human Behaviors." The essays included are "Computational Modeling of Complex User Behaviors: Challenges and Opportunities," by Peng Cui, Huan Liu,...
Location-based sequential event prediction is an interesting problem with many real-world applications. For example, knowing when and where people will use certain kinds of services could enable the development of robust anticipatory systems. A key to this problem is in understanding the nature of the process from which sequential data arises. Usually, human behavior exhibits distinct spatial, temporal,...
Heterogeneous social networks present a great challenge for link mining tasks and especially for link prediction. Recent work insists on the importance of information heterogeneity intelligent exploitation in order to achieve best results. That will be more possible only with the development of new techniques that may represent heterogeneous network in an effective way making it possible to simplify...
By the immense growth of social applications in web environment, the role of trust in connecting people is getting more important than ever. Although many researchers have already conducted comprehensive studies on the trust related applications, the understanding of distrust relations is still unclear to the researchers. In this paper, we have investigated some of mechanisms that determine the signs...
In 2007, Netflex provided a large training dataset describing user ratings of movies for KDD Cup contest. Many competitors proposed various kinds of data mining model trying to achieve the best prediction performance. The first place winner among the competitors got the best root mean square error (RMSE) of 0.256. Most of the models applied statistical machines learning techniques with collaborative...
We study information diffusion in real-life and synthetic dynamic networks, using well known threshold and cascade models of diffusion. Our test-bed is the communication network of the LiveJournal Blogosphere. We observe that the dynamic and static versions of the Blogograph, yield very different behaviors of the diffusion. It was earlier discovered that the communication dynamics of the Blogograph...
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