期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2020
卷号：2
期号：11
页码：299-303
DOI：10.35629/5252-0211177184
语种：English
出版社：IJAEM JOURNAL
摘要：Movie recommendation using Jaccard distance is a relatively new approach in the field of Python. As one of its first implementations, Jaccard distance has gained a lot of attention. Together with Utility Matrix it makes movie recommendation based on similar taste easy and reliable. Using this, the recommendation is made based on the behaviour of multiple users and not on the properties of the content that is being consumed.
