… In this section, a self-adaptive resource-allocation scheme combing traffic prediction with
user satisfaction will be introduced in detail. The scheme contains two parts: one part is the …

… With the user satisfaction model we can optimally provide traffic [26] in communication …
were then used in the second experiment where we provided user satisfaction prediction model. …

… both users and traffic system. The routing guidance algorithms which only consider user
satisfaction try to make sure that the user … They predict the traffic flow by using the current road …

… feedback data, and an algorithm that generates data sets to properly simulate the live traffic
… The goal of our hybrid approach is to accurately predict user satisfaction by fusing different …

… share of 14 percent of mobile data traffic [7]. This clearly … This translates to the observation
that user satisfaction is not … initial two-predictor model with a three-predictor model, we …

… predictions for Indian mixed traffic conditions. Human perceived motorized level of service
(MLOS) depends on various factors like road traffic … reported higher prediction accuracy than …

… in web search systems because we suggest a way to define and predict user satisfaction
for search dialogues. Spoken Dialogue Systems The main difference between traditional web …

… from network-side traffic traces or directly by user terminals [6]… satisfaction prediction, ie, the
satisfaction reported by a user … more easily than short-term QoE users and in turn areas of the …

… in the traffic and static provisioning of resources to manage punctual very high traffic volumes
is … perform an evaluation of a high response time effect on predictions and user satisfaction. …

… and device type predict satisfaction with network availability. … a typical user the download
share of their mobile traffic is much … user the download–upload mobile traffic split is 88%–12%. …