Integrating Item Relevance in Training Loss for Sequential Recommender Systems.
Andrea BacciuFederico SicilianoNicola TonellottoFabrizio SilvestriPublished in: CoRR (2023)
Keyphrases
- recommender systems
- user preferences
- cold start problem
- personalized recommendation
- collaborative filtering
- item based collaborative filtering
- implicit feedback
- cold start
- hybrid recommendation
- recommendation algorithms
- training set
- information retrieval
- user profiles
- test set
- latent factor models
- training phase
- training examples
- online learning
- matrix factorization
- training process
- relevance feedback
- user ratings
- active user
- item recommendation
- user context
- information overload
- data sparsity
- user modeling
- data sets
- supervised learning
- hidden markov models
- neural network