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In recent years, the competition in the IPTV industry is becoming more and more fierce. It is important for IPTV service providers to study and improve users' QoE. In this paper, we discuss the relationship between user's QoE and the status of IPTV set-top box. We firstly clean the imbalanced data and then create a mapping between user's complaints and user's QoE. We improve the AdaBoost algorithm...
IPTV is an increasingly important service for telecom operators. Service providers have to repair IPTV faults quickly in order to provide high quality service. It will be very helpful if faults can be predicted. Considering this situation, we combine status data from the set top box with the data of customer trouble tickets and then build a prediction system with improved AdaBoost to predict faults...
IPTV is a new multimedia service over the Internet. In order to improve the quality of IPTV service and the user's satisfaction, telecom operators are interested in studying and improving user's Quality of Experience (QoE). In this paper, we study the relationship between the viewing records from IPTV set-top box and the user's QoE based on IPTV service. Firstly, data processing is performed. After...
We designed an electronic nose to classify different Chinese liquors. Kernel entropy component analysis (KECA) was applied to reduce the dimensionality of data sets. In order to avoid the blindness of parameter setting, particle swarm optimization (PSO) algorithm was employed to optimize parameters in KECA. At last, we adopted extreme learning machine (ELM) as a classifier to classify eight kinds...
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