Liquor Recommendation

This project I directly worked with our customer in Japan. My task is to develop a Recommendation Algorithm that recommends similar liquors based on the given taste coefficients. My algorithm finally show superior performance over the very well-known sake recommendation website (https://sakenowa.com/). I also published 2 prestigious papers with the project.

Please find more detail of our algorithms in our 2 publish papers below:

(Van Dat et al., 2022) and (Van et al., 2020)

On the left, the search bar represents for the taste coefficients we want to find similar liquors. Right, the 3 remaining figures are the 3 most similar items that share the cloest distribution to the query input item.

References

2022

Solving distribution problems in content-based recommendation system with gaussian mixture model

Nguyen Van Dat , Pham Van Toan , and Ta Minh Thanh

Applied Intelligence, 2022

Bib PDF

@article{van2022solving,
  title = {Solving distribution problems in content-based recommendation system with gaussian mixture model},
  author = {Van Dat, Nguyen and Van Toan, Pham and Thanh, Ta Minh},
  journal = {Applied Intelligence},
  volume = {52},
  number = {2},
  pages = {1602--1614},
  year = {2022},
  publisher = {Springer},
}

2020

Robust content-based recommendation distribution system with gaussian mixture model

Dat Nguyen Van , Van Toan Pham , and Ta Minh Thanh

In International Conference on Computational Collective Intelligence , 2020

Bib PDF

@inproceedings{van2020robust,
  title = {Robust content-based recommendation distribution system with gaussian mixture model},
  author = {Van, Dat Nguyen and Pham, Van Toan and Thanh, Ta Minh},
  booktitle = {International Conference on Computational Collective Intelligence},
  pages = {199--211},
  year = {2020},
  organization = {Springer},
}