Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems.
Zhaolin GaoTianshu ShenZheda MaiMohamed Reda BouadjenekIsaac WallerAshton AndersonRon BodkinScott SannerPublished in: SIGIR (2022)
Keyphrases
- recommender systems
- collaborative filtering
- implicit feedback
- matrix factorization
- search result diversification
- rank order
- user preferences
- tabu search
- information retrieval
- recommendation quality
- user profiling
- information overload
- finite element
- relevance feedback
- information filtering
- user profiles
- cold start
- evolutionary algorithm
- trust aware
- recommendation systems
- median filter
- noise removal
- filtering method
- personalized recommendation
- eye tracking
- cold start problem
- user context