Tutorial 2- Creating Recommendation Systems using Nearest Neighbors

K nearest Neighbor K-nearest neighbor finds the k most similar items to a particular instance based on a given distance metric like euclidean, jaccard similarity , minkowsky or custom distance measures

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[hamzanaeem]

I like the whole series of yours, but this is not good, BAD !!!

[SanjeevKumar-ifhk]

How would i get the recommend for a particular movie #krish_naik

[shivalikapatel]

how to get recommendations for a particular movie title, instead of a random pick?

[zagustan]

Hi Sir, This is an amazing video, can you explain more on the way to evaluate the model? thank you

[ridakhan]

If we want to generate recommendations by selecting only one movie rather than random pick. how we can do that? anyone?

[austineferdinand]

thanks, kindly show us the popularity threshold that you concluded to be fifty

[priyankgupta]

Sir, how can we evaluate our model in this case? Please reply as I am stuck in the middle of my project.

[dhirendrajha]

Please make one video on deep learning techniques through recommendation System. thank you

[garvitgupta]

What is the difference between KNeighbourClassifier and NearestNeighbour ?

[mondal]

After watching several videos and reading various articles, this one made me understood. Thanks!

[nehajha]

Hi Sir, How can we measure the accuracy of this model @krishNaik

[shaadakhtar]

What does distance mean in this one? Is it: for a particular user distance of all movies from the movie at 110th Index. And are you trying to make collaborative or content based

[selvaganapathy]

rating_popular_movie= >= @popularity_threshold')
Why '@' is used here?

[nandalala]

Why can't we use mahanobolis distance instead of euclidean and Manhattan distance.
Mahanobolis is a great Indian scientist

[mohdkashif]

can anyone explain how is this collaborative filtering, where did we make use of similar user property used in collaborative filtering, i am getting confused, to me it appear just like content based filtering but in case of correlation we are using cosine similarity.

[vibhatripathi]

How can you make movie rating prediction system using user-user collaborative filtering and KNN, given rating data (has movieID, UserID, User's rating for the movie) file (.txt) and movie list (.txt) file (has Movie ID, Movie Tiltle, and Year of Release). I think movie list file is just for reference i.e. to find the movie for prediction.

[srishtijaiswal]

Sir, Can you reply today, I want to know is it item- item colloberative filtering ?

[PawanSingh-tzgy]

Sir, i have seen lots of videos all are similar kind. If you can help with recommendation system where we can use customer features like customer demog(age, education, city etc) and also product features as well.

[shyam]

Love u ji great work, all the best, continue ur hard work

[talentzunlimited]

Awesome Video !
But many of the questions are still unanswered, it would help everyone.