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4)      Experimental paper on both recommender and sentiment analysis

 Research Research Papers describing advanced prototypes and design, systems, tools, techniques, schemes and general survey papers indicating the future direction of research are equally welcome.

 Recommender system

  • Issues in recommender system: Scalability, accuracy, novelty, sparse, missing erroneous, malicious data, cold-start, confidence, robustness, risk, serendipity, adaptivity, etc.
  • Collaborative filtering using recommender system for subjectivity detection
  • Content management and modeling
  • Recommender systems applications
  • Recommender systems applications for social media
  • Measuring personalization effectiveness
  • Evaluation methods for recommender systems
  • Ownership of social media content
  • Multi-criteria decision recommender system
  • Product modeling, user opinion mining and data extraction
  • Knowledge-based recommender system
  • Hybrid recommender system
  • Security and privacy in social media
  • Trustworthiness and reliability on social media
  • Impact of context-awareness
  • Big data
  • Reproducibility based recommender system

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Assoc. Prof. Roliana IbrahimDepartment of Information Systems, Faculty of Computing,Univesiti Teknologi Malaysia

Email: roliana@utm.my

 Assoc. Prof. Dr Takeru YokoiTokyo Metropolitan College of Industrial Technology, Tokyo, Japan

Email:  takeru@metro-cit.ac.jp

Assoc. Prof. Bay VoHo Chi Minh City University of Technology, Vietnam. 

Email: vd.bay@hutech.edu.vn

 Prof. Ali SelamatFaculty of Computing, Univesiti Teknologi Malaysia

Email: aselamat@utm.my

 Prof. Habibollah HaronFaculty of Computing, Univesiti Teknologi Malaysia

Email: habib@utm.my

 Asst. Prof. Lim Kok ChengUniversiti Tenaga National, Malaysia

Email: KokCheng@uniten.edu.my