Recommender system design and multi-channel pricing: personalization strategies for online platforms

• Main Author: ZHANG, Hao
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Recommender Systems; User-generated Content; Content Generation and Usage; Multi-channel Pricing; Consumer Search; Reference Price; Computer and Systems Architecture
• Online Access: https://ink.library.smu.edu.sg/etd_coll/600; https://ink.library.smu.edu.sg/context/etd_coll/article/1598/viewcontent/GPIS_AY2021_PhD_ZHANG_Hao.pdf
• Institution: Singapore Management University

The advancement of mobile technology and rising consumer demands have contributed to the unprecedented growth of online platforms. In online platforms, recommender systems connect with multistakeholders who have different interests. Designing recommender systems to balance the benefit of multistakeh...