Multimodal data fusion framework based on autoencoders for top-N recommender systems.
Felipe L. A. Conceiç aoFlávio L. C. PáduaAnísio LacerdaAdriano César Machado PereiraDaniel Hasan DalipPublished in: Appl. Intell. (2019)
Keyphrases
- fusion framework
- multimodal data
- recommender systems
- fusion process
- collaborative filtering
- similarity search
- denoising
- multimedia databases
- cross modal
- user preferences
- data fusion
- user profiles
- user interests
- combining multiple
- user model
- recommendation algorithms
- knn
- data sets
- multi modal
- personalized recommendation
- audio features
- high dimensional
- image segmentation
- computer vision