A simple demonstration of Social Network Analysis on movie recommendation and twitter database using Cypher Query
Language in Neo4j
This project is divided into 2 individual components :-
- Movie Recommendation, and
- Twitter Database
- The
Movie Recommendation
deals with recommendation of movies by creating a database from the shows.csv file and then performing content based filtering and collaborative based filtering for the recommendation. - The
Twitter Database
deals with content and collaborative based filtering by using this online available database from neo4j website
-
PART 1 : Movie Recommendation
- Create a database in Neo4j browser.
- In this path
C:\Users\user_name\.Neo4jDesktop\relate-data\dbmss\name_of_folder_after_database_created\import
place the shows.csv file attached. - Now in Neo4j browser paste the cql commands from movie.cql
-
PART 2 : Twitter Database
- The database is already created and hosted by Neo4j itself. Click here
- Username :
twitter
and Password :twitter
- Refer to the REPORT.pdf for further understanding and contents of the project.