A Personalised Session-Based Recommender System with Sequential Updating Based on Aggregation of Item Embeddings.
Yuma NagiKazushi OkamotoPublished in: IEICE Trans. Inf. Syst. (2024)
Keyphrases
- recommender systems
- user preferences
- cold start problem
- collaborative filtering
- personalized recommendation
- cold start
- information filtering
- user ratings
- user profiles
- item recommendation
- active user
- recommendation algorithms
- hybrid recommendation
- matrix factorization
- personal preferences
- vector space
- user behavior
- low dimensional
- rating prediction
- user item rating
- recommendation systems
- data aggregation
- rank aggregation
- user feedback
- manifold learning
- user modelling
- euclidean space
- neural network
- movie recommendation
- latent factor models
- user modeling
- user similarity
- implicit feedback
- user interests
- dimensionality reduction
- bayesian networks
- e learning