MMSSL
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[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"
Hello,I recently saw your work and was very interested, but when I reproduce the paper, it is always a little worse than what was written in the original paper, do...
Hi! Thank you for your novel work and processed datasets. I downloaded tiktok and allrecipes from the given links and found the their dataset statistics are as follows: tiktok: #Users:...
Thanks for your wonderful contribution for embedding netflix item data. In python, when I load your Netflix data, the `text_feat.npy` and `image_feat.npy` both represents a numpy adarray. To be more...
Thank you very much for your contribution to the multimodal recommendation system! I would like to ask if the train_mat in the dataset you provided was edited and generated by...
Thank you very much for your contribution to multimodal recommendation systems! When I try to reproduce your paper, the experimental data obtained are always worse than the data you gave...