Calls for Papers (special): Journal of Organizational and End User Computing (JOEUC)


Special Issue On: User-Centric Service Recommendation in Internet of Things

Submission Due Date
3/1/2019

Guest Editors
Lianyong Qi, Qufu Normal University, China
Xuyun Zhang, The University of Auckland, New Zealand

Introduction
With the increasing popularity of service computing paradigm, tremendous resources or services (e.g., movies, food and places of interest) are emerging rapidly on the Web, imposing heavy burdens on the service selection decisions of users. Recommendation has been considered as one of the most effective ways to alleviate such burdens. Through analyzing the personalized preferences of a user, recommender systems can perform appropriate service recommendations to users, so that their various functional/non-functional business requirements can be satisfied.

With the advent of Internet of Things (IoT), many service-based applications are built based on the IoT infrastructure and platforms. As a consequence, traditional service recommendation techniques have encountered many challenges with some examples given as follows. As the crucial input to service recommendation systems, users’ historical service usage records in IoT applications are often geographically distributed across various devices (e.g., mobile phones, PDA and smart watches). Then, the inference of the recommendation logic will become very incomplete, or even infeasible if high accuracy is the goal, when the distributed data are not integrated and fused properly. In most applications, user privacy concerns occur when we try to combine distributed data sets together for the service recommendation. This newly-emerging issue has not been encountered in the traditional recommender systems where single data sets are usually used for decision-makings. Lack of recommendation diversity is another problem in existing service recommendation systems. One cause of homogeneous recommendation results is that candidate services are labeled with similar tags or have overlapped functions. As a result, if the recommender systems fail to provide diversified services to users, their satisfaction degree will be negatively affected to a large extent. All in all, users should play a central role in recommendation systems.

Objective
In view of the aforementioned challenges, this special issue aims to highlight the cutting-edge research and applications related to the user-centric service recommendation in IoT.

Recommended Topics
Potential topics include but are not limited to:
  • Distributed service recommendation in IoT
  • Multi-source data integration for recommendation
  • light-weight service recommendation for smart devices
  • Underlying hardware or infrastructure for recommendation in IoT
  • User profile analyses in IoT
  • User preference model in IoT
  • Recommendation performance analyses
  • Recommendation system R&D
  • Security, privacy and trust in recommender systems
  • Context (e.g., time, location…)-aware service recommendation
  • Diversified service recommendation
  • Any other related topics


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on or before March 1. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Lianyong Qi and Xuyun Zhang
Guest Editor
Journal of Organizational and End User Computing
lianyongqi@gmail.com; xuyun.zhang@auckland.ac.nz

Special Issue On: Mobile Service Computing

Submission Due Date
11/30/2019

Guest Editors
ShuiGuang Deng, Zhejiang University, China
Ying Li, Zhejiang University, China
Honghao Gao, Shanghai University, China


Introduction
Service computing covers the science and technology of bridging the gap between business and IT services, and has attracted increasing attention from both industry and academia. Services are defined as software artefacts that are autonomous, self-described, reusable, and highly portable. They’re the basic units for building rapid, low-cost, secure, and reliable applications. Thus, the service computing paradigm saves on development costs that would otherwise be spent creating new software components for each new business process.

Due to the rapid developments in mobile devices and wireless technologies, mobile devices are play an increasing important role in our daily life. Mobile technology’s huge potential brings great opportunities for traditional service computing in the mobile environment. Services are no longer limited to traditional contexts and platforms. They can be deployed on mobile devices or cloud servers and delivered over wireless networks. Mobile service computing is undoubtedly enabling us to provide and access services anytime and anywhere, which greatly facilitates our life, work, and study. However, the application of mobile service computing still faces challenges due to key limitations such as constant mobility, limited capability, restricted power, unguaranteed security, etc., which bring great challenges for both service provision and consumption.

Objective
The aims of this special issue are (1) to present the state-of-the-art research on mobile service computing, and (2) to provide a forum for experts to disseminate their recent advances and views on future perspectives in the field.

In this special issue, we will invite papers that present new theories, methods and techniques applied to mobile service computing. We particularly encourage papers demonstrating novel strategies to new types of mobile service computing domains such as mobile cloud computing, mobile edge computing, etc. Applications may be drawn by investigating the usage of novel methods for all aspects of the mobile service computing system, including system design, performance optimization, algorithm design, scheduling methods, energy saving, and security management.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:
  • Service description in mobile environments
  • Performance optimization in mobile environment
  • Quality evaluation for mobile services
  • Mobile service selection, recommendation and composition
  • Mobile service provisioning
  • Energy efficiency in mobile service computing
  • Mobile service Offloading
  • Resource management in mobile service environments
  • Security and privacy in mobile service computing
  • Mobile device management (configuration, performance, and capacity)


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Mobile Service Computing on or before November 31, 2019. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
ShuiGuang Deng, Ying Li, Honghao Gao
Guest Editor
Journal of Organizational and End User Computing (JOEUC)
E-mail: dengsg1980@gmail.com; yingli.zju@gmail.com; gaohonghao@shu.edu.cn