The effect of release dates on the book sale ranks

Akdemir, Eda Eylül (2020) The effect of release dates on the book sale ranks. [Thesis]

[thumbnail of 10236897.Akdemir_Eda_Eylul.pdf] PDF

Download (735kB)


In this study, we examined the effect of a book’s publishing date on its sales ranking with a Linear Regression model by using Amazon’s daily book ranking and price data for 67 days. We found out that the release date of a book is an important factor in evaluating the book rankings. We also studied the prediction of rankings using the lagged variables of price and ranking. To transform this time series prediction problem into a supervised learning problem, we used the sliding window approach. We used four machine learning and one deep learning approach to predict the rankings. To compare the results, two evaluation criterias; R2 and root mean squared error were used. When tuning the hyperparameters, we used k-fold Cross Validation. We found out that linear regression outperformed the rest of the models, which are Ridge Regression, Random Forest, Light Gradient Boosting Machine, and Neural Network
Item Type: Thesis
Uncontrolled Keywords: Book sale ranks. -- Time series prediction. -- Supervised learning. -- Lagged variables. -- Linear regression. -- Ridge regression. -- Random forest. -- Light gradient boosting machine. -- Neural networks. -- Satış sıralaması. -- Yayınlanma tarihi. -- Zaman serisi tahmini. -- Güdümlü öğrenme. -- Gecikmeli değişkenler. -- Lineer regresyon. -- Ridge regresyonu. -- Rastgele orman. -- Gradyan arttırma makinesi. -- Yapay sinir ağları.
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD0028 Management. Industrial Management
Divisions: Sabancı Business School
Sabancı Business School > Management and Strategy
Depositing User: IC-Cataloging
Date Deposited: 29 Mar 2021 15:31
Last Modified: 26 Apr 2022 10:36

Actions (login required)

View Item
View Item