Integrating Item Relevance in Training Loss for Sequential Recommender Systems.
Andrea BacciuFederico SicilianoNicola TonellottoFabrizio SilvestriPublished in: RecSys (2023)
Keyphrases
- recommender systems
- cold start problem
- user preferences
- collaborative filtering
- personalized recommendation
- recommendation algorithms
- matrix factorization
- cold start
- implicit feedback
- information retrieval
- latent factor models
- item based collaborative filtering
- hybrid recommendation
- user ratings
- user modeling
- rating prediction
- item recommendation
- training phase
- training algorithm
- training examples
- user profiles
- user profiling
- ranked list
- user behavior
- test collection
- training set
- website