项目作者: Akshat122

项目描述 :
Movie-Recommendation-System
高级语言: Python
项目地址: git://github.com/Akshat122/Movie-Recommendation-System.git
创建时间: 2018-12-22T14:52:31Z
项目社区:https://github.com/Akshat122/Movie-Recommendation-System

开源协议:

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Movie-Recommendation-System

Group Members

Name Link
Akshat Khanna My GitHub link
Fayaz Maknojia GitHub link
Harshit Sharma GitHub link

RECOMMENDER SYSTEM

  • A Recommender System or a Recommendation System is a subclass of information filtering system that seeks to predict the “rating” or “preference” a user would give to an item.

  • Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general.

Kaggle Dataset

https://grouplens.org/datasets/movielens/latest/

  1. Total Movies --> 193886
  2. Total Movie with user Rating --> 21827
  3. Total users --> 10532
  4. Total User Ratings --> 1048575

METHODOLOGY

  1. 1. Pearson Correlation.
  2. 2. Cosine similarity

TECHNOLOGIES USED

  • Matplotlib
  • Pandas
  • Numpy

How to run the Project

  1. $ virtualenv MRS
  2. $ source MRS/bin/activate
  3. $ pip3 install -r requirements.txt
  4. $ python3 Recommender Systems.py