Yong Zheng, an assistant professor of information technology and management at Illinois Institute of Technology’s School of Applied Technology, gave the tutorial “Multi-Stakeholder Recommendations: Case Studies, Methods and Challenges” at the 13th Association of Computing Machinery Conference on Recommender Systems in Copenhagen, Denmark, on September 19. The conference is the premier international forum for the presentation of new research results, systems, and techniques in the broad field of recommender systems.
Multi-stakeholder recommender systems offer a novel and promising research direction. Traditional recommender systems produce a list of recommendations by considering the perspective of the end user only. The multi-stakeholder approach additionally considers the perspective of other stakeholders, for two reasons. The perspective of other stakeholders is useful for the target user. For example, the view of parents and teachers may be beneficial in helping a child select learning materials. Also, the approach can alleviate the issue at hand if there are conflicting interests among stakeholders. For example, students may prefer to work on easier projects, while professors always encourage them to select more challenging ones.
Zheng is also collaborating with Muthusamy Chelliah (Flipkart, India), Sudeshna Sarkar (IIT Kharagpur, India) and Vishal Kakkar (Flipkart, India) to give a similar tutorial, “Recommendation for Multi-Stakeholders and through Neural Review Mining” at the 28th ACM International Conference on Information and Knowledge Management, which will take place November 3–7 in Beijing.