Compatible Item Recommendation is a collection of research documents and resources developed by Kevin J Nguyen and Victoria Wei as they pursued their research as Undergraduate Research Scholars.
Compatible Item Recommendation focuses on the analysis of relationships between products for a compatibility notion to improve recommender systems. Ex: An Intel Core i7 is only compatible with specific motherboards based on a specific processor socket. This information should be taken into account for recommendation rather than Amazon's traditional approach of co-purchase recommendation. Our completed thesis can be read at: Compatible Item Recommendation.pdf
All of our research is contained in Jupyter Notebooks and can be found under the Notebooks folder. Additional resources such as our poster and category association list, can be found in the Documents folder.
This research would not be possible without the help of:
- James Caverlee - Associate Professor (Department of Computer Science and Engineering at Texas A&M University)
- Yin Zhang - PhD Student (Texas A&M University)
Compatible Item Recommendation is released under an MIT License. See LICENSE for details.
Copyright © 2017-present Kevin J Nguyen and Victoria Wei.
Please provide attribution, it is greatly appreciated.