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https://github.com/robbestad/recsys_wa2
My solution to WA2 for Coursera course Introduction to Recommender Systems
https://github.com/robbestad/recsys_wa2
Last synced: 20 days ago
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My solution to WA2 for Coursera course Introduction to Recommender Systems
- Host: GitHub
- URL: https://github.com/robbestad/recsys_wa2
- Owner: robbestad
- Created: 2013-09-11T05:20:35.000Z (over 11 years ago)
- Default Branch: master
- Last Pushed: 2013-10-03T19:55:19.000Z (about 11 years ago)
- Last Synced: 2024-04-13T17:11:01.232Z (8 months ago)
- Language: Java
- Homepage:
- Size: 137 KB
- Stars: 1
- Watchers: 3
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Populate movie objects and rating objects by fetching data from the
included CSV file
Deliverables
There are 4 deliverables for this assignment. Each deliverable represents a different analysis of the data @
provided to you. For each deliverable, you will submit a list of the top 5 movies as ranked by a particular
metric. The 4 metrics are:
Mean Rating: Calculate the mean rating for each movie, order with the highest rating listed first, and submit
the top 5.
% of ratings 4+: Calculate the percentage of ratings for each movie that are 4 or higher. Order with the
highest percentage first, and submit the top 5.
Rating Count: Count the number of ratings for each movie, order with the most number of ratings first, and
submit the top 5.
Top 5 Star Wars: Calculate movies that most often occur with Star Wars: Episode IV - A New Hope (1977) using
the "x + y / x" method described in class. In other words, for each movie, calculate the percentage of people
who rated that movie and Star Wars: Episode IV - A New Hope. Order with the highest percentage first, and
submit the top 5.