Dynamic attention-based explainable recommendation with textual and visual fusion.
Peng LiuLemei ZhangJon Atle GullaPublished in: Inf. Process. Manag. (2020)
Keyphrases
- selective attention
- visual representations
- visual field
- data fusion
- high level
- recommender systems
- visual information
- human generated
- visual representation
- visual features
- data sets
- user preferences
- real time
- information fusion
- multi sensor
- textual information
- fusion algorithm
- visual processing
- collaborative filtering
- low level
- metadata