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The rapid development of cloud computing has resulted in the emergence of numerous web services on the Internet. Selecting a suitable cloud service is becoming a major problem for users especially non-professionals. Quality of Service (QoS) is considered to be the criterion for judging web services. There are several Collaborative Filtering (CF)-based QoS prediction methods proposed in recent years...
Anomaly detection technique play an extraordinary role in the Intrusion Detection System (IDS) for its ability to detect novel attacks. To overcome the high-dimensionality problem the anomaly detection cursed of, we propose a novel Meta-Heuristic-based Sequential Forward Selection (MH_SFS) feature selection algorithm, which can be generally implemented in anomaly detection system. It is an improvement...
New item or topic profiling and recommendation are useful yet challenging, especially in face of a “cold-start” situation with sparse user-item ratings for the new arrivals. In this paper, a method of acquiring review opinions of the “sentinel” users on the cold-start items is proposed to elicit those items’ latent profiles, and thus both user-specific ratings and future popularity of the items can...
In this paper, we study on the popularity prediction of online user-generated contents, where high quality predictions give us much more flexibility and preparing time in deploying limited resources (such as advertising budget, monitoring capacity) into more popular contents. However the high retrieval cost of data used in prediction is a big challenge due to the large amount of users and contents...
Cellular network based context-aware applications and location based services (LBSs) have drawn significant attention in both research and industry for many years. A key aspect that influences the quality of context-aware applications and LBSs is the localization accuracy of the mobile terminal (MT). The empirical location estimation method, also known as the fingerprint method, is a popular location...
Selecting optimal routes to reduce travel time has been an important research area for urban traffic network managements. Various parameters such as route length, average speed and event situations need to be considered in the design of a route guidance system. In this paper, we develop a new navigation system based on the combination of fastest path search algorithm and travel time prediction method...
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