PRODUCT PRICE PREDICTION BASED ON DESCRIPTION OF ITS CHARACTERISTICS

Authors

  • Milana Bečejac Autor

DOI:

https://doi.org/10.24867/07BE10Becejac

Keywords:

Price Prediction, Neural networks, Product characteristics, Word2Vector, BagOfWords, LSTM

Abstract

The goal of this paper is solving the problem of prediction of price based on products’ characteristics. It describes the specification, implementation, and verification of such a system. The purpose of this system is to help buyers find a product with a fair price and to assist sellers in determining a suitable price for their products.

References

[1] Su, Beichen. An Application of Recurrent Neural Network: Prediction of Items’ Price by Description. Diss. UCLA, 2018.
[2] Kim, Kyoung-jae, and Hyunchul Ahn. "A recommender system using GA K-means clustering in an online shopping market." Expert systems with applications 34.2 (2008): 1200-1209.
[3] https://www.kaggle.com (pristupljeno u septembru 2019.)
[4] https://github.com/ChenglongChen/tensorflow-XNN/blob/master/doc/Mercari_Price_Suggesion_Competition_ChenglongChen_4th_Place.pdf (april 2019.)
[5] https://searchenterpriseai.techtarget.com/definition/recurrent-neural-networks (septembar 2019.)
[6] https://medium.com/mlrecipies/deep-learning-basics-gated-recurrent-unit-gru-1d8e9fae7280 (septembar 2019.)
[7] https://github.com/Sebastianvarv/MercariPriceSuggestion (maj 2019.)
[8] https://github.com/gdayal80/mercari/tree/local/Mercari%20Price%20Suggestion%20Challenge (maj 2019.)
[9] Raygada, Javier. "Product Price Suggestions for Online Marketplaces."

Published

2020-02-22

Issue

Section

Electrotechnical and Computer Engineering