Would love to see some easy to follow Pytorch notebooks that walk through the entire process. It would also be great if you give some extra attention to datasets, embeddings and tokenizers because these parts don't really get much coverage usually in my opinion.
welcome back! thank you for your implementation and paper reading videos, they are very useful. Next year Recsys will be held in Bari, Italy and my supervisor will be the general Chair! If you will attend the conference I would like to buy you a beer and thank you for your videos!
Likely we’ll look at multi-armed Bandits, anything in mind for knowledge graphs? Personally I haven’t used knowledge graphs but am up to do a deep dive in it
@@AladdinPersson Awesome :) Big companies like Google and Amozon use KGs in recommending things like similar search results, products, new connections etc. Would be great if you could incorporate it, but just a suggestion!
Hey Aladin, what's up. Nice video. I just want to ask you about any remote internship opportunities in the organisation you are working in. I am a master's student in AI and i would love to learn and work.
![[Paper Review]: Deep Neural Networks for YouTube Recommendations](http://i.ytimg.com/vi/7C11p47NW44/mqdefault.jpg)
![[Paper Review]: Deep Neural Networks for YouTube Recommendations](/img/tr.png)
Please continue this advanced series, we are tired of the many numpy and beginner videos. ❤❤❤❤
Keep going alladin, this series would be very useful for us!
Would love to see some easy to follow Pytorch notebooks that walk through the entire process.
It would also be great if you give some extra attention to datasets, embeddings and tokenizers because these parts don't really get much coverage usually in my opinion.
welcome back! thank you for your implementation and paper reading videos, they are very useful. Next year Recsys will be held in Bari, Italy and my supervisor will be the general Chair! If you will attend the conference I would like to buy you a beer and thank you for your videos!
Great intro! Obvious a lot of work went into those slides - looking forward to the series 😃
Thx Aladdin, working with Conversational Recommendation Systems in Brazilian Portuguese for my MsC Computer Science, your videos help a lot.
Looking forward to following this series! Love your videos!
Excited to see next episode of this series.🤩
Keep going man, this couldn’t have come at a better time
Thank you, Aladdin!
welcome back! what a nice series it will be! plz keep going！
：）
can not wait for the next videos! good work!
Congrat mate the content is superb
Would love to see recsys on huge datasets, like a 100M data points. To get idea regarding optimization in production environment
Pls take up a huge dataset, and relevant tools for it. Coz in general the libraries that work for small dataset would not be relevant for larger ones
Iam really expecting this series!
Let's build a recSys step by step.
Welcome back Aladdin ❤
Welcome back!
welcome back Aladdin
are you going to cover vector database ?
Awesome series, do you plan to cover topics like knowledge graphs and reinforcement learning for recommenders?
Likely we’ll look at multi-armed Bandits, anything in mind for knowledge graphs? Personally I haven’t used knowledge graphs but am up to do a deep dive in it
@@AladdinPersson Awesome :) Big companies like Google and Amozon use KGs in recommending things like similar search results, products, new connections etc. Would be great if you could incorporate it, but just a suggestion!
Hey Aladin, what's up. Nice video. I just want to ask you about any remote internship opportunities in the organisation you are working in. I am a master's student in AI and i would love to learn and work.
Keep going Aladdin.....! Is this gonna be a practical serie?
Yes :)
Keep making videos , also how can I contact you