| Paper Abstract and Keywords |
| Presentation |
2024-06-07 10:55
Price Prediction of Handmade Items using Multimodal Data
Tomoya Sugihara (UTokyo), Shuntaro Masuda (UTokyo.), Shengzhou Yi, Toshihiko Yamasaki (UTokyo) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Handmade products differ from mass-produced items as each item is uniquely crafted by hand. Therefore, setting initial prices for these products can be challenging, with inappropriate pricing potentially losing the seller's profit or reducing buyer's interest. Current price prediction methods mainly use two modalities: images and metadata, or images and text data. To the best of our knowledge, there is no price prediction method that uses the three modalities: images, metadata, and text data, especially one that is specifically designed for handmade items. Therefore, in this study, we create a multimodal neural network that leverages multimodal data including product images, meta data, and texts to create a specialized price prediction tool for handmade items. Our experimental results using actual handmade item data sold on Mercari showed that our model incorporating all three modalities achieved the highest Pearson correlation coefficient of 0.569. Compared to the results of using only both images and metadata, our model using all types of modalities showed an improvement of 0.071 points, and an improvement of 0.106 points compared to the model using both images and text data. The experiments demonstrated the effectiveness of using all three modalities for price prediction in handmade items. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Multimodal neural networks / Multimodal data / Handmade items / Price prediction / / / / |
| Reference Info. |
ITE Tech. Rep. |
| Paper # |
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| Date of Issue |
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| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
ME IST IEICE-BioX IEICE-SIP IEICE-MI IEICE-IE |
| Conference Date |
2024-06-06 - 2024-06-07 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Nigata University (Ekinan-Campus "TOKIMATE") |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
IEICE-IE |
| Conference Code |
2024-06-ME-IST-BioX-SIP-MI-IE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Price Prediction of Handmade Items using Multimodal Data |
| Sub Title (in English) |
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| Keyword(1) |
Multimodal neural networks |
| Keyword(2) |
Multimodal data |
| Keyword(3) |
Handmade items |
| Keyword(4) |
Price prediction |
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| 1st Author's Name |
Tomoya Sugihara |
| 1st Author's Affiliation |
The University of Tokyo (UTokyo) |
| 2nd Author's Name |
Shuntaro Masuda |
| 2nd Author's Affiliation |
The University of Tokyo (UTokyo.) |
| 3rd Author's Name |
Shengzhou Yi |
| 3rd Author's Affiliation |
The University of Tokyo (UTokyo) |
| 4th Author's Name |
Toshihiko Yamasaki |
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The University of Tokyo (UTokyo) |
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| Speaker |
Author-1 |
| Date Time |
2024-06-07 10:55:00 |
| Presentation Time |
25 minutes |
| Registration for |
IEICE-IE |
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| Volume (vol) |
vol.48 |
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