Recommendation of who-to-follow and what-to-buy
This project intends to provide a one-stop solution for businesses who want to integrate to an online shopping platform to engage their customers. The project features s recommendation system that predicts customers’ ratings of products. In order to achieve this, a database is designed to capture bo...
Main Author: | Li, Chuqiao |
---|---|
Other Authors: | Zhang Jie |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/70652 |
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