yjeong5126 / movie_recommender Goto Github PK
View Code? Open in Web Editor NEWThis is the practice of making movie recommendation engines.
This is the practice of making movie recommendation engines.
Respected Sir,
I was going through your code for building a recommender in the "item_based_collaborative_filtering.ipynb" file. My doubt lies in the sample dataset where you have considered "0" for movies not-rated by users since it will be affecting the cosine similarity computation on the denominator side. Or should we consider only those values for Cosine Similarity computation for which both the users have given ratings or reviews and neglect the Nan values or 0 values in the vector completely?
Kindly share your views on this matter. In such a case, we may have to build our own Cosine Similarity Metric since KNN is not NaN aware and raises an error.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.