This is the academic project for course CS522-BigData
Team Members:
Toan Quach, Hiep Nguyen, Mark Pit
I. Domain
Recommend top cars based on customer ratings, prices consiting of Rental fee, MSPR, Factory Invoice and Market price, car type and customer's behaviours from Edmunds.com
II. Purpose
Provide users with some knowledge on current car trends and purchasing ideas for
new and used cars.
III. Recommendation Context
The system targets users who wants to search for cars, looks at cool car images or watches
car videos.
IV. Source
1. Edmunds.com car information with images and customer ratings.
2. User Click's History
Additional information for application robustness:
1. Hotwire.com car rental availability based on recommended car details.
2. YouTube video links for recommended cars
V. Personalization
User Location through browser Geolocation (if supported by browser)
Current activity through clicks and search criteria, which can be tracked by Browser cookies
or IP Address.
VI. Interface
Input:
Search criteria (car make/model/year)
Output:
Car Recommendation with rental availability (Hotwire) and video links (YouTube)
Car recommendation as the same types watched which is to maximize benefits for customers.