Exploiting Fine-Grained Co-Authorship for Personalized Citation Recommendation.
Lantian GuoXiaoyan CaiFei HaoDejun MuChangjian FangLibin YangPublished in: IEEE Access (2017)
Keyphrases
- fine grained
- personalized recommendation
- coarse grained
- user modeling
- personalized information
- collaborative filtering
- recommender systems
- recommendation systems
- access control
- personalized services
- product recommendation
- user preferences
- massively parallel
- personal preferences
- news recommendation
- e learning
- tightly coupled
- user feedback
- user profiles
- distributed systems
- individual user
- data lineage
- user model
- user intent