CLOSED Call for Papers: Special Issue on Online Recommendation using AI and Big-Data Techniques
The rapid growth of online service platforms has significantly influenced the way users conduct daily activities. In response to the requirements of frequent online activities on huge information, recommendation has become one of the best ways for organizations, governments, and individuals to understand their users and promote their products or services. Effective recommendation of online items and online consumers has become critical for enterprises in domains such as retail, e-commerce, and online media. Driven by business successes, academic research in this field has also been active for many years. However, there are still many research challenges in this area, such as the discovery of contexts, the sequential user behavior influence, the explainability of online system, the user interaction of system, and the big data management of online services. The highly dynamic network data on online platforms make these challenges even more critical. This special section focuses on the new recommendation solutions using AI and big-data techniques. We would like to invite authors to submit papers on all aspects of online recommendation techniques.
The list of possible topics includes, but is not limited to:
Applications of recommendation systems
Context discovery in recommendation
Result summarization, explanation, and presentation in recommendation
Trust of recommendation results
User intent and dialog state tracking in recommendation
User models and user behavior analysis in the context of recommendation
Advanced data mining and machine learning techniques for recommendation
Big-data analytics techniques and their applications to recommendation
Context-aware recommendation
Conversational recommendation
Scenario-oriented recommendation
Surveys, reviews, and prospects on recommendation techniques
Schedule
Manuscript Submission Due: 1 July 2021
First Round of Reviews Completed: 1 September 2021
Revision Due: 1 November 2021 (60 days after receiving the notification letter)
Final Decision: 1 January 2022
Final Manuscript Due: 31 January 2022
Expected Publication: Early 2022
Submission Guidelines
Authors can submit their manuscripts via ScholarOne Manuscripts. Reviewing will be single-blind. We will follow policies for plagiarism, submission confidentiality, reviewer anonymity, and prior and concurrent paper submission based on the publisher of TKDE.
Questions?
For questions or more information, please contact the guest editors:
Prof. Lei Chen, Hong Kong University of Science & Technology, Hong Kong (leichen@cse.ust.hk)
