Assessing and Enhancing Adversarial Robustness for Review-Based Recommender System: A Design Science Approach.
Ruicheng LiangYidong ChaiWeifeng LiMichael ChauYuanchun JiangYezheng LiuPublished in: PACIS (2023)
Keyphrases
- design science
- literature review
- recommender systems
- lessons learned
- information systems
- design theory
- design decisions
- collaborative filtering
- theoretical foundation
- technology transfer
- user preferences
- case study
- implicit feedback
- widely accepted
- information filtering
- user profiles
- multi agent
- movie recommendation
- trade off
- rating prediction