Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback.
Guipeng XvXinyu LiRuobing XieChen LinChong LiuFeng XiaZhanhui KangLeyu LinPublished in: CoRR (2024)
Keyphrases
- multi modal
- user feedback
- recommender systems
- denoising
- user profiles
- user interaction
- implicit feedback
- user preferences
- collaborative filtering
- multi modality
- image processing
- matrix factorization
- multiple modalities
- high dimensional
- cross modal
- recommendation systems
- relevance feedback
- user interests
- audio visual
- metadata
- multimedia
- personalized recommendation
- amazon mechanical turk
- contextual information
- image registration
- probabilistic model
- user interface