Table of Contents Author Guidelines Submit a Manuscript

Smart Multimedia Content Recommendation in Web of Things

Call for Papers

With the ever-increasing volume and variety of multimedia content (e.g., images, audios, text, and user-generated data with domain-specific knowledge), recommendation has become a promising way to alleviate the heavy burden on the multimedia selection decisions of users. In the age of Web of Things (WoT), the major devices that users enjoy multimedia content through often vary in both hardware infrastructure (e.g., mobile phone, PDA, and smartwatch) and software context (e.g., network condition and throughput). Besides, the diversified user preferences also play a key role in the users’ satisfaction towards multimedia content. Therefore, it has become a necessity to adapt the multimedia content recommendation to the users’ personalized hardware/software/preferences, so as to improve the user’s experience.

This special issue aims to highlight the cutting-edge research and applications related to multimedia content recommendation in Web of Things.

Potential topics include but are not limited to the following:

  • Multimedia content encapsulation, publishing, and registration
  • Multimedia content search
  • Multimedia format
  • Multimedia interaction with devices
  • Multimedia service quality
  • Multimedia recommender systems
  • User preference model
  • User context analyses
  • User security and privacy
  • Intelligent multimedia recommendation
  • Diversity in multimedia recommendation
  • Multimedia networking in WoT environments
  • Quality of experience for WoT
  • Any other related topics

Authors can submit their manuscripts through the Manuscript Tracking System at https://mts.hindawi.com/submit/journals/am/smcw/.

Submission DeadlineFriday, 6 July 2018
Publication DateNovember 2018

Papers are published upon acceptance, regardless of the Special Issue publication date.

Lead Guest Editor

Guest Editors

  • Zhili Zhou, University of Windsor, Windsor, Canada
  • Xiaojun Chang, Carnegie Mellon University, Pittsburgh, USA
  • Bo Hu, Kingdee International Software Group Co., Ltd., Shenzhen, China