Anime recommendations engine using python, machine learning, google colab.
This data was taken from a anime ranking and discussion website called myanimelist.com
This recommendation is made using content based filtering and nlp techniques such as tfdvectorization and regex. This engine also uses simlarity in genre, studio, and type. Type being movie, tv, ova, ona. This is so the anime are mathed up using the description of the anime as well as the genre, studio and type.
This code is available for anyone to use. Some uses for further implementations below.
Further implementations - Building a frontend to display the recommendations is a more creative manner - Use it for your own anime website. - using the techniques used as a base for something similar like a movies dataset or tv show dataset.
If you have any questions about the code feel free to let me know!