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Compute user behavior using functions, design introspection flow, create LLM-accessible functions for content and collaborative filtering.
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@asash suggested incorporating RecSys measures into this package. I'm generally supportive and I think it'd be doable, but it'll take a bit of design/thought upfront.
We can use this issue to sketc…
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## * 의문점들
- LLM framework에서, recommendation item을 간결하고, 의미있는 textual ID representation으로 표현
- Textual ID generator를 어떻게 학습하는가?
- Foundation generative recommendation model?
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I run the code in `colabnotebooks/IUI_Tutorial_Feature_extraction.ipynb`, and unzipping the file raises this error:
```
[wikimedia_recsys.zip]
End-of-central-directory signature not found. Eithe…
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# RecSys 2021の記事や論文集
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## 🚀 Feature
To add some more metrics used in Recommendation Systems with tests that can directly be used. Here is the list (@alykhantejani @vfdev-5 feel free to add more):
- [ ] NDCG
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RecommendationSystemTest produces zero tensors as reference results in many cases (see below). This is not very useful for comparing the results of a reference run with results produced e.g. by differ…
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# Movie Recommender from Pytorch to Elasticsearch | Yoni Gottesman
Train and serve a movie recommender from scratch using movielens, pytorch, factorization machines and elasticsearch
[https://yonigo…
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# Notes
- make sure two videos with the exact same everything except speed are not after each other
- currently works. one issue is that emoji doesnt have shape.
- the vaporwave/tunnel sket…