@inproceedings{d03ed67384ed4ebaaea6110dc7585793,
title = "Product Embedding for Large-Scale Disaggregated Sales Data",
abstract = "This paper recommends a system that incorporates the marketing environment and customer heterogeneity. We employ and extend Item2Vec and Item2Vec approaches to high-dimensional store data. Our study not only aims to propose a model with better forecasting precision but also to reveal how customer demographics affect customer behaviour. Our empirical results show that marketing environment and customer heterogeneity increase forecasting precision and those demographics have a significant influence on customer behaviour through the hierarchical model.",
keywords = "Customer Heterogeneity, Demographics, Hierarchical Model, Item2Vec, LDA2Vec, Topic Model",
author = "Yinxing Li and Nobuhiko Terui",
note = "Publisher Copyright: Copyright {\textcopyright} 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.; 13th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2021 as part of 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2021 ; Conference date: 25-10-2022 Through 27-10-2022",
year = "2021",
doi = "10.5220/0010677500003064",
language = "English",
series = "International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings",
publisher = "Science and Technology Publications, Lda",
pages = "69--75",
editor = "Rita Cucchiara and Ana Fred and Joaquim Filipe",
booktitle = "13th International Conference on Knowledge Discovery and Information Retrieval, KDIR 2021 as part of IC3K 2021 - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management",
}