Closed aditya-malte closed 4 years ago
Hi Aditya,
We had a discussion over phone calls and messages regarding doubts related to the talk proposal and now it seems satisfactory to me.
Please consider this message as the acceptance for the talk for Feb 22, 2020.
Thanks Mayank Mishra
Thank you
Hi,
Please send a small write-up about you for introducing you.
We will be recording your session. So if you have slides/demo/paper. Kindly keep it handy.
Also, you need to install a screen recording software that can capture the presentation on your laptop.
If you have any other alternate go with that if not then please go through the following readme to get an available screen recorder for your OS: https://github.com/sigmakappa/ScreenRecorders
Let me know if a screen recorder for your OS is not available here. Also, after installing do testing of it that it is working properly or not. Also, please give confirmation, once done with screen recorder testing stuff.
Thanks Mayank Mishra
Link to access photographs https://photos.app.goo.gl/oYJHVZNfFp6Juy558
Hi Aditya, Thanks for the talk. Closing this issue. Fell free to make new talk proposals.
Regards, Mayank Mishra
Thanks @mayankskb , it was a pleasure attending and delivering a talk at PyData
Overview
This talk will be giving a brief overview on various user modeling techniques, which will then be followed by discussing Recommendation Systems in depth.
User Modeling(5-10 mins overview):
It is an important subdomain of data mining that is concerned with analyzing and predicting user behavior. Employed by Amazon, Twitter, Facebook, etc. to analyze their user/social media traffic.
This talk will give a brief overview of User Modeling with a more in-depth discussion on recommendation systems
Example use cases include:
Recommendation Systems (40 mins)
We’ll discuss various use cases of different recommendation systems followed by an in detail study of algorithms in Implicit Recommendation Systems and a real-world use case/demo.
Timeframe:
Around 45-50 mins
Props:
Whiteboard, Projector/LCD, etc.