Inspiration
To see the power of machine learning for a real world application
What it does
Recommend books based on a selected book
How we built it
Backend: Java, SpringBoot Framework, Python, JDBC & PostgreSQL Data Gathering and Cleaning: Python Frontend: HTML5, CSS, Bootstrap, JavaScript, Ajax
We have successfully implemented a book recommendation system based on co-purchaseing pattern analysis using data mining algorithm like FP growth.
Challenges we ran into
Large amount of data Limited resources for training
Accomplishments that we're proud of
Complete recommendation system in 24 hours
Built With
- ajax
- bootstrap
- css
- html5
- java
- javascript
- jdbc
- jdbc-&-postgresql-data-gathering-and-cleaning:-python-frontend:-html5
- postgresql
- python
- springboot-framework
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