Re-centering the User in Recommender System Research
摘要截稿:
全文截稿: 2024-09-15
影响因子: 3.163
期刊难度:
CCF分类: A类
中科院JCR分区:
• 大类 : 计算机科学 - 2区
• 小类 : 计算机:控制论 - 2区
• 小类 : 人体工程学 - 2区
• 小类 : 心理学:综合 - 2区
Overview
Recommender systems (RSs), driven by advanced technology and evolving user demands, intricately analyze data to tailor content, products, or services, offering personalized experiences and enhancing user engagement. Cutting-edge technologies are redefining the nature of the interaction between users and RSs and amplifying the classic challenges of user engagement, highlighting the necessity of building, maintaining, evaluating, and studying systems that are fair, transparent, ethical, and primarily beneficial to users and society, upholding user expectations and fundamental human rights. Consequently, the ever-evolving landscape of RSs urgently demands a shift in focus: from prioritizing technology and stakeholder interests to empowering users and placing them at the core of research.
This special issue fosters collaboration among researchers from computer science, human-computer interaction, psychology, and ethics. This issue will serve as a platform for groundbreaking research that not only advances the technical frontiers of RSs but also ensures these systems are designed with a focus on user welfare, ethical standards, and societal impact. Contributions may range from innovative user-centric evaluation strategies prioritizing user trust and fairness to dynamic recommendation processes integrating direct user feedback and conversational interaction for enhanced personalization, e.g., with LLMs. Explorations into the explainability of RSs, personalization techniques that respect individual decision-making styles, and the ethical implications of bias, fairness, and privacy in data-driven systems are particularly welcome.
Topics of interest include but are not limited to:
User control and user-centric approaches
Trustworthiness and privacy
Explanation and transparency
Bias and fairness
Psychological aspects of recommendation
Conversational and user-driven RSs
User studies and user-centric evaluation
User interfaces and novel UI design studies
Guest editors:
Li Chen, PhDHong Kong Baptist University, Hong Kong, Chinalichen@comp.hkbu.edu.hk
Antonio Ferrara, PhDPolytechnic University of Bari, Bari, Italyantonio.ferrara@poliba.it
Bart Knijnenburg, PhDClemson University, Clemson, UASbartk@clemson.edu
Fedelucio Narducci, PhDPolytechnic University of Bari, Bari, Italyfedelucio.narducci@poliba.it
Maria Soledad Pera, PhDDelft University of Technology, Delft, Netherlandsm.s.pera@tudelft.nl
Claudio Pomo, PhDPolytechnic University of Bari, Bari, Italyclaudio.pomo@poliba.it
Manuscript submission information:
The journal's submission system (Editorial Manager®) will be open for submissions to our Special Issue from April 15th, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: User in RSs” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: International Journal of Human-Computer Studies | ScienceDirect.com by Elsevier.
Important Dates:
Submission Open Date: April 15th, 2024
Final Manuscript Submission Deadline: September 15th, 2024
Editorial Acceptance Deadline: February 15th, 2025