Recommendation engine for E-commerce website.

[mrkazmi333]

• Abstract (2-3 lines) Recommender systems are changing from novelties used by a few E-commerce sites, to serious business tools that are re-shaping the world of E-commerce. This talk focuses on building a recommender system for an E-commerce website.
• Brief Description and Contents to be covered The talk will cover the database-driven approach to the collaborative filtering method to build a recommendation engine.
  1. What are recommender systems
  2. Understanding the Data.
  3. How we approached the problem.
  4. Why we used Python.
• Pre-requisites for the talk Some Python and basic SQL(Optional)
• Time required for the talk 8-10 Minutes (Lightning Talk)
• Link to slides https://docs.google.com/presentation/d/1196o_yNAg54tbhI2GZqgCf2v98xvS4uk/edit#slide=id.p1
• Will you be doing hands-on demo as well? No
• Link to ipython notebook (if any) None
• About yourself I, Motasim Rahman Kazmi a final year CSE undergrad at Jamia Hamdard. Currently working with BytesBrick InfoSystems as an Intern and a Software Innovator at Intel Corporation.
• Are you comfortable if the talk is recorded and uploaded to PyData Delhi's YouTube channel ? Yes
• Any query ? Not Yet

[shagunsodhani]

Thank you for the proposal @mrkazmi333 Please let us know when you have uploaded the slides and are ready to give the talk.

[mrkazmi333]

I just have update the issue with the slide link. Please check it out @shagunsodhani. And sorry for the delay as I was occupied with some other major tasks.

[shagunsodhani]

Thanks @mrkazmi333 I would suggest adding some details about the dataset. Right now, the terms hCat,vCat` etc are not intuitive. Rest of the slides look fine.

[mrkazmi333]

Thanks for the suggestion @shagunsodhani I've just added them.

[shagunsodhani]

Looks good to me!