A Framework for Analyzing Book Covers and Co-purchases using Object Detection and Data Mining Methods

Autor:	Brenda Cinthya Solari Berno, Matheus Gutoski, Andrei de Souza Inácio, Leandro Takeshi Hattori, Ademir Cristiano Gabardo, Heitor Silvério Lopes
Rok vydání:	2019
Předmět:	Cover (telecommunications) Computer science business.industry Deep learning Artificial intelligence Data mining business computer.software_genre computer Consumer behaviour Object detection Task (project management)
Zdroj:	LA-CCI
DOI:	10.1109/la-cci47412.2019.9037060
Popis:	Co-purchase analysis is becoming an essential task for e-commerce businesses as it enables to predict new purchases and understand customer behavior. In this paper, we propose a novel framework to analyze books sales from co-purchase and visual data. An existent dataset created from Amazon co-purchase data was extended to include visual information from book covers. Deep Learning was used to perform object detection and Data mining techniques were used to analyze relationships concerning book co-purchases and the influence of visual information on books category. Our results revealed several interesting relationships between co-purchases and predominant colors in the cover, as well as between objects and categories.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d1ae339b3f996bcf22b7c94d52e90e70 https://doi.org/10.1109/la-cci47412.2019.9037060 Zobrazit plný text záznamu