Large Language Model Can Interpret Latent Space of Sequential Recommender.
Zhengyi YangJiancan WuYanchen LuoJizhi ZhangYancheng YuanAn ZhangXiang WangXiangnan HePublished in: CoRR (2023)
Keyphrases
- language model
- latent space
- latent variables
- probabilistic model
- low dimensional
- gaussian process
- generative model
- n gram
- dimensionality reduction
- matrix factorization
- document retrieval
- collaborative filtering
- lower dimensional
- recommender systems
- query expansion
- probabilistic latent semantic analysis
- high dimensional
- retrieval model
- information retrieval
- parameter space
- gaussian processes
- feature space
- mixture model
- vector space model
- transfer learning
- test collection
- high dimensional data
- distance metric
- graphical models
- bayesian framework
- document collections
- data points