Recommender system design and multi-channel pricing: personalization strategies for online platforms
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...
Saved in:
Main Author: | ZHANG, Hao |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Personalized recommendation and balancing content generation and content usage on two-sided entertainment platforms
by: ZHANG, Hao, et al.
Published: (2022) -
USING META-DATA FROM FREE-TEXT USER-GENERATED CONTENT TO IMPROVE PERSONALIZED RECOMMENDATION BY REDUCING SPARSITY
by: XU XIAOYING
Published: (2015) -
Measuring the business value of online social media content for marketers
by: Lin, Z., et al.
Published: (2014) -
EXPLOITING USER COMMENTS FOR WEB APPLICATIONS
by: HE XIANGNAN
Published: (2016) -
Social media brand community and consumer behavior: Quantifying the relative impact of user- and marketer-generated content
by: Goh, K.-Y., et al.
Published: (2014)