PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.
Yi LiJieming ZhuWeiwen LiuLiangcai SuGuohao CaiQi ZhangRuiming TangXi XiaoXiuqiang HePublished in: CoRR (2022)
Keyphrases
- personalized recommendation
- personalized search
- recommender systems
- personalized information
- user feedback
- user modeling
- implicit feedback
- user specific
- user profiles
- ranking algorithm
- learning to rank
- collaborative filtering
- web search
- social tags
- tag recommendation
- fuzzy logic
- product recommendation
- personalized services
- individual user
- news recommendation
- recommendation systems
- ranking functions
- information filtering
- personal preferences
- user preferences
- web personalization
- power system
- user interests
- information services
- user model
- link analysis
- user profiling
- ranked list
- fault diagnosis
- user interaction
- context aware
- spam detection
- recommendation algorithms
- neural network
- distribution network
- power transformers
- expert systems
- e learning