Generating Realistic Users Using Generative Adversarial Network With Recommendation-Based Embedding.
Parichat ChonwiharnphanPipop ThienprapasithEkapol ChuangsuwanichPublished in: IEEE Access (2020)
Keyphrases
- recommender systems
- individual user
- collaborative filtering
- recommendation systems
- online dating
- information overload
- user feedback
- heterogeneous social networks
- network resources
- end users
- user interface
- social connections
- generative model
- user interaction
- amazon mechanical turk
- complex networks
- network traffic
- peer to peer
- social media
- access points
- social graph
- product recommendation
- personalized recommendation
- recommendation algorithms
- user preferences
- wireless sensor networks
- user behavior
- collaborative tagging
- online social
- viral marketing
- multi agent
- user profiles
- internet service providers
- travel information
- social networks