Search Results for author:
Found 2 papers, 0 papers with code
Discreetly Exploiting Inter-session Information for Session-based Recommendation
First, inter-session dependencies are not differentiated at the factor-level.
Dual-Granularity Contrastive Learning for Session-based Recommendation
At factor-level, we employ Disentangled Representation Learning to obtain finer-grained data(e. g. factor-level embeddings), with which we can construct factor-level convolution channels.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
