Awesome video, clear explanations. Couple questions. 1) Is SVD implementation different from what we call Matrix Factorisation in recommender systems? 2) You mentioned KNN is also model based. I'm wondering if KNN can also be considered as collaborative filtering (item/user based) if we simply use distance measures like cosine to fine similar neighbours and recommend accordingly. In KNN we don't really 'fit' the data, we calculate the distances at runtime, so wonder if we should call that the model approach or colab one.
Hello sir , I have a product dataset which contains columns user_id , order_values and product_category , what I want is , I have to create model which will predict top3 products for each user_id . I want final output as CSV file with two columns user_ID and top3_predict. ....can you guide me to do this problem? how I should do this?
Hi Saurabh, I have created video on this topic, please watch here: ruclips.net/video/_2nES58GEHM/видео.html Also you can watch these for wider understanding: ruclips.net/video/pGt4XMtyWm0/видео.html ruclips.net/video/5n7Z15lihcc/видео.html
@@UnfoldDataScience The videos that you shared are not on 'Content based filtering'.. but they are on 'item based collaborative filtering '. Can you please check again?
Hello sir, Hope you're fine. I very appreciate the video, such an amaizing explanition! I'm a student and I'm trying to build a model based recommender system and I want to use different algorithms such as knn, naive bayes ..etc. Can U post a video on how to build such a type of recommender with KNN and NAIVE BAYES.. N.B: or just lead me to articles or github repositories that treat this Thank U in advance.
thanks a lot. Please do a complete python tutorial for hybrid recommender system
gajab!!
Good one
Thank you 😊
Hello Sir, great video! I loved the actual code part and how you showed us a real world example! Thank you!
Welcome.
very nice and simple explanation. good work
Thanks for liking Harjeet. Happy Learning. Stay Safe. Tc
Wow Sir , amazingly explained . Thanks for this
You are most welcome Shikha. Happy new year to you and your family.
Awesome video, clear explanations.
Couple questions.
1) Is SVD implementation different from what we call Matrix Factorisation in recommender systems?
2) You mentioned KNN is also model based. I'm wondering if KNN can also be considered as collaborative filtering (item/user based) if we simply use distance measures like cosine to fine similar neighbours and recommend accordingly. In KNN we don't really 'fit' the data, we calculate the distances at runtime, so wonder if we should call that the model approach or colab one.
I think it memory based not model based
Very Well explained .
Thanks for liking Prashant.
Thanks a lot sir. Very well explained.
You are most welcome Viji.
I'm grateful
My Pleasure.
Very nice Aman
Thanks a lot for your feedback 🙂
Thank you for all ur efforts. Can you pls create a video using Nearest neighbour technique pls.
Thanks Hargurjeet.
Hi can we use this model in RUclips videos data set recommendation system on the basis of taking highest views as a target variable??
Hello, can you do a video for multi criteria rating model based collaborative filtering?
Noted. Sure.
Hello sir , I have a product dataset which contains columns user_id , order_values and product_category , what I want is , I have to create model which will predict top3 products for each user_id . I want final output as CSV file with two columns user_ID and top3_predict. ....can you guide me to do this problem? how I should do this?
You have to create user similarity matrix.
Nice explanation sir. surprise package is not installing in my system. I'm using 'pip install scikit-surprise'. But it not working. Please help sir
Try with conda.
Hi... There is no video for content based filtering... Can you please upload soon?
Hi Saurabh, I have created video on this topic, please watch here:
ruclips.net/video/_2nES58GEHM/видео.html
Also you can watch these for wider understanding:
ruclips.net/video/pGt4XMtyWm0/видео.html
ruclips.net/video/5n7Z15lihcc/видео.html
@@UnfoldDataScience The videos that you shared are not on 'Content based filtering'.. but they are on 'item based collaborative filtering '. Can you please check again?
Can we do collaborative filtering without reviews?
Yes
Hello sir,
Hope you're fine.
I very appreciate the video, such an amaizing explanition!
I'm a student and I'm trying to build a model based recommender system and I want to use different algorithms such as knn, naive bayes ..etc.
Can U post a video on how to build such a type of recommender with KNN and NAIVE BAYES..
N.B: or just lead me to articles or github repositories that treat this
Thank U in advance.
Hi Khadija, I can help u out with some bandwidth. Please write me an email with details.
@@UnfoldDataScience Okkeey, thank U sir.
post video wrt knn based recommendation
Hi Phani, Sure will do. Stay Safe. tc
Hey there are no codes in your drive for model based collaborative filtering how can someone access it
I will check.
@@UnfoldDataScience I can't access it too