A Novel Science and Technology Resource Recommendation Service based on Knowledege Graph and Collaborative Filtering.
Xinyu ZhaoChen LiuShuo ZhangXin YouPublished in: ICSS (2022)
Keyphrases
- collaborative filtering
- recommender systems
- user preferences
- matrix factorization
- data sparsity
- recommendation systems
- personalized recommendation
- computational science
- item recommendation
- case study
- online dating
- cold start problem
- resource allocation
- bipartite graph
- web page recommendation
- resource discovery
- web services
- random walk
- service providers
- information filtering
- service composition
- lifecycle management
- recommendation algorithms
- graph structure
- cold start
- user profiles
- artificial intelligence
- web resources
- making recommendations
- rating prediction
- product recommendation
- internet services
- transfer learning
- user ratings
- science learning
- directed graph
- technology enhanced
- information overload
- service discovery