Product Embedding for Large-Scale Disaggregated Sales Data

Yinxing Li, Nobuhiko Terui

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication13th 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
EditorsRita Cucchiara, Ana Fred, Joaquim Filipe
PublisherScience and Technology Publications, Lda
Pages69-75
Number of pages7
ISBN (Electronic)9789897585333
Publication statusPublished - 2021
Event13th 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 - Virtual, Online
Duration: 2022 Oct 252022 Oct 27

Publication series

NameInternational Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings
Volume1
ISSN (Electronic)2184-3228

Conference

Conference13th 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
CityVirtual, Online
Period22/10/2522/10/27

Keywords

  • Customer Heterogeneity
  • Demographics
  • Hierarchical Model
  • Item2Vec
  • LDA2Vec
  • Topic Model

Fingerprint

Dive into the research topics of 'Product Embedding for Large-Scale Disaggregated Sales Data'. Together they form a unique fingerprint.

Cite this