Collaborative and Content-Based Filtering with Data from MovieLen

Kaiyuan Lin ； Bohao Li

《International Core Journal of Engineering》 7卷4期 (2021/04) Pp. 28-30

https://doi.org/10.6919/ICJE.202104_7(4).0005

摘要

With the data from MovieLens, Collaborative Filtering recommendation model, which is based on ratings from users, and content-based recommendation model, which is based on the tags, such as genres, of movies people have watched, are implemented to recommend movies to users with their records.

關鍵字

Recommender System ； Collaborative Filtering ； Content-based Recommendation ； Movie Recommendation

參考文獻

GroupLens. (2018, August 15). MovieLens 20M Dataset https://www.kaggle.com/grouplens/movielens-20m-dataset

Xiaohei, & user of zhihu. (2016, March 09). How to explain the principle of ALS algorithm in spark mllib? https://www.zhihu.com/question/31509438

tijun. (2017) Collaborative filtering of spark-MLlib https://www.cnblogs.com/tijun/p/7880170.html