Special Issue on Recommendation Techniques for Services Computing and Cloud Computing -TSC

IEEE Transactions on Services Computing Special Issue on Recommendation Techniques for Services Computing and Cloud Computing

With the prevalence of services computing and cloud computing, a large
number of services are now offered by competing service providers, the
applications have become large-scale and complex, and a large volume of
information is generated by various service-oriented applications and cloud
applications. It is challenging for users to find the right information that
they want (e.g., determine the optimal web service when making service
selection, detect vulnerable components in complex service-oriented
applications and cloud applications, identify suitable servers for deploying
cloud applications, etc.). Efficient and effective recommendation techniques
are becoming important to help users (including developers) employ the
information in services computing and cloud computing intelligently in their
decision-making processes for critical application developments.
Recommendation techniques aim to support users in their decision making
while interacting with large information spaces. In services computing and
cloud computing, they provide users with information to guide them in a
number of activities (e.g., service selection, service discovery, cloud
deployment, etc.). Recommendation techniques can draw from a wide variety of
input data, and benefit from different types of analyses.
Original papers with novel and solid research results on recommendation
techniques for services computing and cloud computing are solicited for this
special issue. It is expected that this special issue, as a whole, will
provide an integrated and synthesized view of the current state of the art,
identify key challenges, possible research directions, and opportunities,
and promote community-building among researchers and practitioners in
related fields. It is highly desirable to have some real-world case studies
or realistic illustrative examples to facilitate understanding of the
research results.

Topics of interest for original papers include, but are not limited to:
- Infrastructure of recommendation systems for services computing and cloud
computing
- Recommendation algorithms for services computing and cloud computing
- Social recommendation for services computing and cloud computing
- Location-based service recommendation
- Time-aware service recommendation
- Recommendation techniques for service QoS prediction
- Recommendation techniques for service selection and composition
- Recommendation techniques for service discovery
- Recommendation techniques for trustworthy cloud computing
- Recommendation techniques for cloud deployment
- Context-/situation-sensitive recommendations for services computing and
cloud computing
- Evaluation of recommendation results for services computing and cloud
computing
- Presentations of recommendation results including usability issues,
visualization, etc.
- Case studies of real-world implementations

Important Dates:
- 1 December 2013: Deadline for paper submission
- 1 April 2014: First-round review notification
- 15 May 2014: Revised submission due
- 20 June 2014: Final acceptance notification

Submissions
Please submit your papers through TSC's online system
(https://mc.manuscriptcentral.com/tsc-cs)
and select SI on Service Recommendation. Paper formatting guidelines are
available at the journal¡¯s website (http://www.computer.org/tsc). Submitted
papers should not have been previously published nor be currently under
consideration for publication elsewhere.

Guest editors:
- Michael R. Lyu, The Chinese University of Hong Kong
- Liang-Jie Zhang, Kingdee International Software Group Company Limited

If you have questions on this special issue, please send e-mail to
ieeetsc@cse.cuhk.edu.hk for a query.

For more details, please check http://www.cse.cuhk.edu.hk/~ieeetsc