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Trust-aware recommender systems are intelligent technology applications that make use of trust information and user personal data in social networks to provide personalized recommendations. Earlier research in trust-aware systems have shown that the ability of trust-based systems to make accurate predictions coupled with their robustness from shilling attacks make them a better alternative than traditional...
In recent years recommender systems have become a ubiquitous feature in e-commerce sites. However, the open nature of recommender systems makes them vulnerable to shilling attacks from malicious users. Such attacks may lead to erosion of user trust in the objectivity and accuracy of the system. One critical area of research in security of recommender systems is the study of attack models. In this...
In this paper, we focus on work atmosphere and conflict in global virtual teams and report the findings of a laboratory experiment that involved twenty-seven cross-cultural virtual teams. The members of the teams used IBM's Lotus Sametime to work on decision-making tasks. The findings of the study reveal that in collaboration technology supported virtual teams, the cultural heterogeneity of the team...
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