Before defining the dataset, I would like to explain that this is a part of an university project, more concretely part of a Master’s Degree in Data Science from the ‘Universitat Oberta de Catalunya’ (UOC). So, all the proposals are academic. This dataset contains information about the best sellers in Amazon Spain (amazon.es) on 28th October 2020. It has the top 100 best sellers of 35 different categories (3500 rows) like home and kitchen, food and drinks, music or informatica. There are 7 attributes, and these are: - Date: date when the data was taken. - Category: category where the product belongs. - Rank: position where the product is in its category in the top 100. - Product: name and short description of the product. - Stars: num...
This is a complementary dataset for DOI: 10.1007/978-3-030-22335-9_6 Following an open data policy ...
This study aims to investigate the contributions of online promotional marketing and online reviews ...
Data collected by Datta, Ailawadi, and Van Heerde (2017) on Amazon Mechanical Turk (May 2016) to mea...
Amazon has created an ideal stop for one-stop shopping with its broad assortment of products sold by...
This dataset contains 3000 sentences from Amazon product reviews related to Digital cameras and Acce...
In this work, I examine a dataset of Amazon product metadata and propose a heterogeneous multiple cl...
The dataset has been collected in the frame of the Prac1 of the subject Tipology and Data Life Cycle...
Purchase processes on Amazon Marketplace begin at the Buy Box, which represents the buy click proces...
Improving the quality of search results can significantly enhance users experience and engagement wi...
A product data corpus containing over 5.6 million product records retrieved from the most visited 32...
My project will focus on analyzing Amazon products review data and provide data-driven insights
This data set contains a series on sales, days outstanding inventory, international sales, number of...
Amazon marketplace is the leading e-commerce company globally. One of the most important features of...
In recent times, the trend of online shopping through e-commerce stores and websites has grown to a ...
This paper documents the results of an intensive "data sprint" method for undertaking data and algor...
This is a complementary dataset for DOI: 10.1007/978-3-030-22335-9_6 Following an open data policy ...
This study aims to investigate the contributions of online promotional marketing and online reviews ...
Data collected by Datta, Ailawadi, and Van Heerde (2017) on Amazon Mechanical Turk (May 2016) to mea...
Amazon has created an ideal stop for one-stop shopping with its broad assortment of products sold by...
This dataset contains 3000 sentences from Amazon product reviews related to Digital cameras and Acce...
In this work, I examine a dataset of Amazon product metadata and propose a heterogeneous multiple cl...
The dataset has been collected in the frame of the Prac1 of the subject Tipology and Data Life Cycle...
Purchase processes on Amazon Marketplace begin at the Buy Box, which represents the buy click proces...
Improving the quality of search results can significantly enhance users experience and engagement wi...
A product data corpus containing over 5.6 million product records retrieved from the most visited 32...
My project will focus on analyzing Amazon products review data and provide data-driven insights
This data set contains a series on sales, days outstanding inventory, international sales, number of...
Amazon marketplace is the leading e-commerce company globally. One of the most important features of...
In recent times, the trend of online shopping through e-commerce stores and websites has grown to a ...
This paper documents the results of an intensive "data sprint" method for undertaking data and algor...
This is a complementary dataset for DOI: 10.1007/978-3-030-22335-9_6 Following an open data policy ...
This study aims to investigate the contributions of online promotional marketing and online reviews ...
Data collected by Datta, Ailawadi, and Van Heerde (2017) on Amazon Mechanical Turk (May 2016) to mea...