DeepAI AI Chat
Log In Sign Up

Multimodal price prediction

by   Aidin Zehtab-Salmasi, et al.

Valorization is one of the most heated discussions in the business community, and commodities valorization is one subset in this task. Features of a product is an essential characteristic in valorization and features are categorized into two classes: graphical and non-graphical. Nowadays, the value of products is measured by price. The goal of this research is to achieve an arrangement to predict the price of a product based on specifications of that. We propose five deep learning models to predict the price range of a product, one unimodal and four multimodal systems. The multimodal methods predict based on the image and non-graphical specification of product. As a platform to evaluate the methods, a cellphones dataset has been gathered from GSMArena. In proposed methods, convolutional neural network is an infrastructure. The experimental results show 88.3


page 3

page 6


The Price is Right: Predicting Prices with Product Images

In this work, we build an ensemble of machine learning models to predict...

Using Textual Summaries to Describe a Set of Products

When customers are faced with the task of making a purchase in an unfami...

Deep Industrial Espionage

The theory of deep learning is now considered largely solved, and is wel...

A Vietnamese information retrieval system for product-price

A price information retrieval (IR) system allows users to search and vie...

House Price Prediction Based On Deep Learning

Since ancient times, what Chinese people have been pursuing is very simp...