PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.
Yi LiJieming ZhuWeiwen LiuLiangcai SuGuohao CaiQi ZhangRuiming TangXi XiaoXiuqiang HePublished in: WWW (Companion Volume) (2022)
Keyphrases
- personalized recommendation
- personalized search
- user feedback
- user modeling
- personalized information
- recommender systems
- collaborative filtering
- tag recommendation
- web personalization
- implicit feedback
- user specific
- ranking algorithm
- web search
- personalized services
- social tags
- fuzzy logic
- e learning
- recommendation systems
- news recommendation
- user profiles
- information filtering
- power system
- user preferences
- neural network
- learning to rank
- individual user
- personal preferences
- product recommendation
- genetic algorithm
- expert systems
- rating prediction
- ranked list
- user context
- document collections
- context aware
- rank order
- matrix factorization
- high voltage
- recommendation algorithms