Ranking in multi-attribute system

[cosmologist10]

• Abstract (2-3 lines) Introduction to the multi-attribute system and Multi-attribute decision making. Implementing two popular decision-making algorithms on evergreen and trending youtube videos.

• Brief Description and Contents to be covered

1. What is a multi-attribute system?
2. Importance & Usage of Ranking in multi-attribute system
3. Problem statement: Ranking of youtube videos of a specific category with respect to engagement
4. Categorizing evergreen and trending videos mathematically
5. Create a dataset with Youtube as a multi-attribute system
6. Approaches to solving these kinds of problems statement

• Pre-requisites for the talk The basic idea of decision making and matrix multiplication

• Time required for the talk 30 mins including Q&A

• Link to slides Will update soon

• Will you be doing hands-on demo as well? Yes

• Link to ipython notebook (if any) https://gist.github.com/cosmologist10/4758a25a74c79679e77166d8f2c51c3a

• About yourself https://www.linkedin.com/in/shweta-suman-2b5b11175/ https://cosmologist10.github.io/

• Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel? Yes

• Any query? No

[MSanKeys963]

Please have a look @shagunsodhani.

[shagunsodhani]

Hey @cosmologist10 Thanks for the proposal. It looks interesting. Could you specify the toolkits and the datasets that you will be using. Looking forward to the slides.

[cosmologist10]

Hi @shagunsodhani! Thanks. I will be using : Toolkit: Ipython. Dataset: Youtube videos and their engagement(views, comment, upvote, downvote, published_date, and duration) I will update slides by the mid of next week.

[MSanKeys963]

Slight reminder @cosmologist10.