Nowadays, the renaissance of artificial intelligence (AI) has attracted huge attention in everyday real life. Recommender systems, as one of the most popular applications of AI, have already become an indispensable means for helping web users identify the most relevant information/services in the era of information overload. The applications of such systems are multi-faceted, including targeted advertising, intelligent financial assistant, and e-commerce, and are bringing immense convenience to people’s daily lives. However, despite rapid advances in recommendation, the increasing public awareness of the trustworthiness of recommender systems has now introduced higher expectations on relevant research.
The Special session on “Data Science and Artificial Intelligence Enabled Trustworthy Recommendations” aims to engage with active researchers from recommendation communities and deliver the state-of-the-art research insights into the core challenges in the algorithmic trustworthiness. Firstly, the unprecedentedly growing heterogeneity in real-world recommendation data has been challenging the adaptivity of contemporary algorithms to various settings, e.g., interest drift of users, cold-start users/items, highly interaction sparsity, and multimodal content. Secondly, trustworthy recommendation approaches should also be robust, secure, interpretable, privacy-preserving, and fair.
Call for papers of two related workshops:
We invite contributions ranging from theoretical or conceptual papers to technical algorithmic ones as well as applications and case studies towards trustworthy recommendation, including but not limited to the following areas:
Paper Submission: June 1, 2022 June 30, 2022(Extended)
Paper Notification: July 31, 2022
Paper Camera Ready Due: August 15, 2022
All deadlines use the Anywhere on Earth (AoE) timezone
Paper Length, Formatting, and Reviewing
Important Policies
Submission Instructions:
The tentative program committee members are listed below:
Francesco Barile, Maastricht University, The Netherlands
Saikishore Kalloori, ETC Zurich, Switzerland
Marina Andric, Free University of Bozen-Bolzano, Italy
Amra Delić, University of Sarajevo, Serbia
Marko Tkalcic, University of Primorska in Koper, Slovenia
Roberto Confalonieri, Free University of Bozen-Bolzano, Italy
Floriano Zini, Free University of Bozen-Bolzano, Italy
Massimo David, Free University of Bozen-Bolzano, Italy
Defu Lian, University of Science and Technology of China, China
Wenpeng Lu, Qilu University of Technology, China
Yan Zhang, University of Technology Sydney, Australia
YuChang Xu, Shanghai Jiaotong University, China
Yong Liu, Nanyang Technological University, Singapore
Trong Dinh Thac Do, University of Technology Sydney, Australia
Shufeng Hao, Taiyuan University of Technology, China
Quangui Zhang, Liaoning Technical University, China
Wenzhuo Song, Jilin University, China
Dhaval Patel, IBM Research, USA