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- [[Lavori Ristrutturazione]]
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- [[PAPERS/Software-ecosystem-book-chapter]]
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- type:: [[meeting]]
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external-links::
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tags::
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people:: #people/claudio #people/juri #people/riccardo #people/PhuongNguyen
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presenter:: #people/claudio
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date:: [[15-09-2022]]
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duration-min:: 72
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- Claudio has some ideas to employ Pytorch in our context to develop recsys
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- It is necessary to have in the Claudio's thesis a section about AutoML
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- Way to compose existing models
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- Look at what Azure ML is doing concerning recsys for supporting ML pipelines [[Ideas]]
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collapsed:: true
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- There is also a respository we could you ([OpenML](https://www.openml.org/)OpenML I think)
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- Dataset of queries and they classified the intent of the user ie navigational, transactional, and informational
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- Use this maybe for user-feedback [[Ideas]]
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- [[Ideas]]
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- [[Ideas]]
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- #Pytorch is provided by Facebook
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- It seems to be faster and also because it is becoming open source
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- #Tensorflow is from Google
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- Use Transformer (BERT) to extend NEMO
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- Or use NLP techniques to even recommend values for recommended operations/actions
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