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We propose a novel personalized recommendation model for social network users based on location computing. The novelty of our model is that we deal with the location based recommendation by combing logistic regression with collaborative filtering method. The logistic regression is used to train the weights of items' features, i.e., the recommendation sort list. On the other hand, the collaborative...
Crowdsensing applications require individuals to share local and personal sensing data with others to produce valuable knowledge and services. Meanwhile, it has raised concerns especially for location privacy. Users may wish to prevent privacy leak and publish as many non-sensitive contexts as possible. Simply suppressing sensitive contexts is vulnerable to the adversaries exploiting spatio-temporal...
Crowdsensing applications require individuals toshare local and personal sensing data with others to produce valuableknowledge and services. Meanwhile, it has raised concernsespecially for location privacy. Users may wish to prevent privacyleak and publish as many non-sensitive contexts as possible.Simply suppressing sensitive contexts is vulnerable to the adversariesexploiting spatio-temporal correlations...
Taxi-sharing allows occupied taxis to pick up new passengers on the fly, promising to reduce waiting time for taxi riders and increase productivity for drivers. However, if not carefully designed, taxi-sharing may cause more harm than benefit — it becomes harder to strike the balance between driver's profit and passenger's quality of service (e.g. travel time, number of strangers that share a taxi,...
It is a linguistic issue to evaluate the network vulnerabilities quantitatively in network security management. It is often claimed to evaluate the vulnerabilities properly and effectively. However, detailed analysis and evaluation based on fuzzy logic, which can deal with the linguistic problems well, is very rare. In this paper, a novel approach, based on Mamdani-Style fuzzy logic, is presented...
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