Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation.
Ruihong QiuZi HuangHongzhi YinPublished in: ICDM (2022)
Keyphrases
- recommender systems
- kernel function
- collaborative filtering
- feature space
- recommendation systems
- kernel methods
- sparse kernel
- sequential search
- kernel regression
- user preferences
- kernel machines
- gaussian processes
- component analysis
- convolution kernel
- data sets
- levenberg marquardt
- support vector
- reproducing kernel hilbert space
- multiple kernel learning
- input space
- least squares
- cold start problem
- high dimensional
- neural network