請幫我條列式的整理以下內容:
Quality of Experience (QoE) defines the degree of delight
or annoyance of the user of an application or service. Ref-
erence [4] aims to provide a brief overview of the current
cloud gaming market, posing challenges and opportunities
for cloud gaming-based businesses and intends to compare
four major cloud gaming platforms based on their delivery
services, availability, pricing, features, streaming quality, and
various games that the platform offers. Reference [8] studies
the impact of the quality of service (QoS) factors most
affecting the players’ quality of experience (QoE) and in-game
performance. In particular, these relationships are studied from
multiple perspectives using complementing analysis methods
applied to the data collected via instrumented user tests.
For streaming, Reference [11] presents a database consist-
ing of videos at full high definition and ultrahigh definition
resolutions, and considers various levels of rate adaptation
and rebuffering distortions together in these videos as expe-
rienced in a typical realistic setting. Besides, they present a
QoE evaluation framework comprising a learning-based model
during playback and an exponential model during rebuffering.
Reference [10] proposes a 5G-QoE framework to address
the QoE modeling for UHD video flows in 5G networks.
Particularly, it focuses on providing a QoE prediction model
that is both sufficiently accurate and of low enough complexity
to be employed as a continuous real-time indicator of the
“health” of video application flows at the scale required in
future 5G networks. Reference [12] proposes Ruyi, a video
streaming system that incorporates preference awareness into
the QoE model and the Adaptive Bitrate (ABR) Streaming
algorithm. Based on QoE model, Ruyi’s Adaptive BitRate
(ABR) is designed to directly predict the influence on metrics
after taking different actions.
Considering artificial intelligence, Reference [5] proposes
the QoE modelling, based on the QoS parameters, by using
the Artificial Neural Network (ANN) method to evaluate and
synthesize the QoE in the actual environment, with the help
of Drive Tests. In Reference [9], an analysis on application-
oriented, ML-based QoE prediction models for the goal of
QoE management for multimedia services is presented. In
addition, an examination of the state-of-the-art ML-based QoE
predictive models and some of the innovative techniques and
challenges related to multimedia services quality assessment
with focus on extended reality and video gaming applications
are out There should be exactly 3 paragraphs separated by the markdown divider: ***.
user