TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation.
Ahmed El-KishkyThomas MarkovichSerim ParkChetan VermaBaekjin KimRamy EskanderYury MalkovFrank PortmanSofía SamaniegoYing XiaoAria HaghighiPublished in: KDD (2022)
Keyphrases
- personalized recommendation
- heterogeneous information networks
- information networks
- collaborative filtering
- heterogeneous networks
- recommender systems
- social media
- user interests
- multiple types
- social networks
- collaborative filtering recommendation
- web users
- user feedback
- topic models
- recommendation systems
- topic modeling
- social networking
- network analysis
- information overload
- user preferences
- link prediction
- random walk
- website
- machine learning
- web documents
- user profiles
- digital libraries
- typed objects