Inclusion of User Behavior and Social Context Information in ML-based QoE Prediction

2021 ◽  
Author(s):  
Fatima Laiche ◽  
Asma Ben Letaifa ◽  
Taoufik Aguili
Keyword(s):  
Social Context ◽  
User Behavior ◽  
Context Information

A service-oriented context-awareness reasoning framework and its implementation

2018 ◽  
Vol 36 (6) ◽  
pp. 1114-1134 ◽  
Author(s):  
Xiufeng Cheng ◽  
Jinqing Yang ◽  
Lixin Xia
Keyword(s):  
Context Awareness ◽  
Service Providers ◽  
User Behavior ◽  
Contextual Information ◽  
Sensor Data ◽  
Context Information ◽  
Content Type ◽  
Low Level ◽  
Service Oriented ◽  
High Level

PurposeThis paper aims to propose an extensible, service-oriented framework for context-aware data acquisition, description, interpretation and reasoning, which facilitates the development of mobile applications that provide a context-awareness service.Design/methodology/approachFirst, the authors propose the context data reasoning framework (CDRFM) for generating service-oriented contextual information. Then they used this framework to composite mobile sensor data into low-level contextual information. Finally, the authors exploited some high-level contextual information that can be inferred from the formatted low-level contextual information using particular inference rules.FindingsThe authors take “user behavior patterns” as an exemplary context information generation schema in their experimental study. The results reveal that the optimization of service can be guided by the implicit, high-level context information inside user behavior logs. They also prove the validity of the authors’ framework.Research limitations/implicationsFurther research will add more variety of sensor data. Furthermore, to validate the effectiveness of our framework, more reasoning rules need to be performed. Therefore, the authors may implement more algorithms in the framework to acquire more comprehensive context information.Practical implicationsCDRFM expands the context-awareness framework of previous research and unifies the procedures of acquiring, describing, modeling, reasoning and discovering implicit context information for mobile service providers.Social implicationsSupport the service-oriented context-awareness function in application design and related development in commercial mobile software industry.Originality/valueExtant researches on context awareness rarely considered the generation contextual information for service providers. The CDRFM can be used to generate valuable contextual information by implementing more reasoning rules.

scholarly journals A Prediction Method of Mobile User Preference Based on the Influence between Users

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Yancui Shi ◽  
Jianhua Cao ◽  
Congcong Xiong ◽  
Xiankun Zhang
Keyword(s):  
Social Network ◽  
User Behavior ◽  
Prediction Method ◽  
Mobile User ◽  
User Preferences ◽  
User Preference ◽  
Context Information ◽  
Mobile Social Network ◽  
Data Set ◽  
Interaction Behavior

User preference will be impacted by other users. To accurately predict mobile user preference, the influence between users is introduced into the prediction model of user preference. First, the mobile social network is constructed according to the interaction behavior of the mobile user, and the influence of the user is calculated according to the topology of the constructed mobile social network and mobile user behavior. Second, the influence between users is calculated according to the user’s influence, the interaction behavior between users, and the similarity of user preferences. When calculating the influence based on the interaction behavior, the context information is considered; the context information and the order of user preferences are considered when calculating the influence based on the similarity of user preferences. The improved collaborative filtering method is then employed to predict mobile user preferences based on the obtained influence between users. Finally, the experiment is executed on the real data set and the integrated data set, and the results show that the proposed method can obtain more accurate mobile user preferences than those of existing methods.

scholarly journals A Context-Aware Framework for Collaborative Activities in Pervasive Communities

2014 ◽  
Vol 5 (2) ◽  
pp. 31-43 ◽  
Author(s):  
Christopher Lima ◽  
Mário Antunes ◽  
Diogo Gomes ◽  
Rui Aguiar ◽  
Telma Mota
Keyword(s):  
Social Context ◽  
Context Information ◽  
Context Aware ◽  
Design And Development ◽  
Pervasive Environments ◽  
Collaborative Applications ◽  
Information Interpretation ◽  
Collaborative Activities

Pervasive environments involve the interaction of users with the objects that surround them and also other participants. In this way, pervasive communities can lead the user to participate beyond traditional pervasive spaces, enabling the cooperation among groups taking into account not only individual interests, but also the collective and social context. In this study, the authors explore the potential of using context-aware information in CSCW application in order to support collaboration in pervasive environments. In particular this paper describes the approach used in the design and development of a context-aware framework utilizing users' context information interpretation for behaviour adaptation of collaborative applications in pervasive communities.

scholarly journals Contextual effects on smile perception and recognition memory

2021 ◽  
Author(s):  
Eva G. Krumhuber ◽  
Sylwia Hyniewska ◽  
Anna Orlowska
Keyword(s):  
Social Context ◽  
Recognition Memory ◽  
Facial Expressions ◽  
Positive Emotion ◽  
Past Research ◽  
Context Information ◽  
Emotion Classification ◽  
Context Condition ◽  
Emotion Displays ◽  
Physical Attributes

AbstractMost past research has focused on the role played by social context information in emotion classification, such as whether a display is perceived as belonging to one emotion category or another. The current study aims to investigate whether the effect of context extends to the interpretation of emotion displays, i.e. smiles that could be judged either as posed or spontaneous readouts of underlying positive emotion. A between-subjects design (N = 93) was used to investigate the perception and recall of posed smiles, presented together with a happy or polite social context scenario. Results showed that smiles seen in a happy context were judged as more spontaneous than the same smiles presented in a polite context. Also, smiles were misremembered as having more of the physical attributes (i.e., Duchenne marker) associated with spontaneous enjoyment when they appeared in the happy than polite context condition. Together, these findings indicate that social context information is routinely encoded during emotion perception, thereby shaping the interpretation and recognition memory of facial expressions.

scholarly journals Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach (Preprint)

JMIR Aging ◽  
10.2196/28333 ◽  
2021 ◽  
Author(s):  
Andrea Ferrario ◽  
Minxia Luo ◽  
Angelina J. Polsinelli ◽  
Suzanne A. Moseley ◽  
Matthias R. Mehl ◽  
...  
Keyword(s):  
Machine Learning ◽  
Older Adults ◽  
Working Memory ◽  
Social Context ◽  
Real Life ◽  
Context Information ◽  
Learning Approach ◽  
Healthy Older Adults ◽  
Machine Learning Approach

Detect Rumors Using Time Series of Social Context Information on Microblogging

2017 ◽  
pp. 67-77
Author(s):  
Jing Ma ◽  
Wei Gao ◽  
Zhongyu Wei ◽  
Yueming Lu ◽  
Kam-Fai Wong
Keyword(s):  
Time Series ◽  
Social Context ◽  
Context Information

Neural mechanisms of encoding social and non-social context information in autism spectrum disorder

2012 ◽  
Vol 50 (14) ◽  
pp. 3440-3449 ◽  
Author(s):  
Ellen Greimel ◽  
Barbara Nehrkorn ◽  
Gereon R. Fink ◽  
Juraj Kukolja ◽  
Gregor Kohls ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Social Context ◽  
Autism Spectrum ◽  
Neural Mechanisms ◽  
Spectrum Disorder ◽  
Context Information
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