Elektrotehničko i računarsko inženjerstvo
God. 35 Br. 03 (2020): Zbornik radova fakulteta tehničkih nauka
PREDIKCIJA CENE PROIZVODA NA OSNOVU OPISA NJEGOVIH KARAKTERISTIKA
Apstrakt
Tema ovog rada je rešavanje problema predikcije cene proizvoda na osnovu opisa njegovih karakteristika. Specificirani su, implementirani i verifikovani modeli, koji rešavaju ovaj problem. Namena ovih modela je pomoć kupcima u proceni da li je cena proizvoda adekvatna, kao i pomoć prodavcima u određivanju prikladne cene za svoj proizvod.
Reference
[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."