Incorporating multidimensional information into dynamic recommendation process to cope with cold start and data sparsity problems.
Maral KolahkajAli HarounabadiAlireza NikravanshalmaniRahim ChinipardazPublished in: J. Ambient Intell. Humaniz. Comput. (2021)
Keyphrases
- data sparsity
- cold start
- collaborative filtering
- cold start problem
- recommender systems
- matrix factorization
- information overload
- transfer learning
- recommendation systems
- information extraction
- recommendation quality
- prior knowledge
- natural language processing
- contextual information
- relevant documents
- collaborative filtering algorithms