Trained weights and artifacts for tmoula/trivago-recsys-moe, the Polanyi Labs prototype. It does session-based hotel recommendation on the Trivago RecSys Challenge 2019 data. It also includes an experimental persona-conditioned mixture-of-experts bridge that transfers retail browsing behaviour (Yoochoose, RecSys Challenge 2015) into the travel domain. The code (model classes, preprocessing, training and inference scripts) lives on GitHub. This repo only hosts the files too large for git. The model takes two left-padded [batch, 20] tensors, refids and actionids, and returns logits over all 400,278 tokens (index 0 is padding). Decode the results with mappings["idx2ref"]. - Unrelated pairings…
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Taha Moula
tmoula
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Models on Hugging Face1
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