TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation.
Ahmed El-KishkyThomas MarkovichSerim ParkChetan VermaBaekjin KimRamy EskanderYury MalkovFrank PortmanSofía SamaniegoYing XiaoAria HaghighiPublished in: CoRR (2022)
Keyphrases
- personalized recommendation
- heterogeneous information networks
- information networks
- user interests
- collaborative filtering
- social media
- heterogeneous networks
- recommender systems
- multiple types
- social networks
- collaborative filtering recommendation
- user feedback
- web users
- social networking
- user preferences
- social network analysis
- network analysis
- information overload
- random walk
- link prediction
- recommendation systems
- real world
- community detection
- feature selection
- website
- training data
- user profiles
- data objects