Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site

Jinyoung Yeo; Sungchul Kim; Eunyee Koh; Seung Won Hwang; Nedim Lipka

doi:10.1145/2872518.2889394

Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site

Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung Won Hwang, Nedim Lipka

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

This paper covers a sales forecasting problem on e-commerce sites. To predict product sales, we need to understand customers' browsing behavior and identify whether it is for purchase purpose or not. For this goal, we propose a new customer model, B2P, of aggregating predictive features extracted from customers' browsing history. We perform experiments on a real world e-commerce site and show that sales predictions by our model are consistently more accurate than those by existing state-of-the-art baselines.

Original language	English
Title of host publication	WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web
Publisher	Association for Computing Machinery, Inc
Pages	133-134
Number of pages	2
ISBN (Electronic)	9781450341448
DOIs	https://doi.org/10.1145/2872518.2889394
Publication status	Published - 2016 Apr 11
Event	25th International Conference on World Wide Web, WWW 2016 - Montreal, Canada Duration: 2016 May 11 → 2016 May 15

Publication series

Name	WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web

Conference

Conference	25th International Conference on World Wide Web, WWW 2016
Country/Territory	Canada
City	Montreal
Period	16/5/11 → 16/5/15

Bibliographical note

Funding Information:
This work was supported by a grant of the Institute for Information & Communications Technology Promotion (IITP) funded by the Korea government (MSIP) (No. 10041244, SmartTV 2.0 Software Platform).

Publisher Copyright:
© 2016 owner/author(s).

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Software

Access to Document

10.1145/2872518.2889394

Cite this

Yeo, J., Kim, S., Koh, E., Hwang, S. W., & Lipka, N. (2016). Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site. In WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web (pp. 133-134). (WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web). Association for Computing Machinery, Inc. https://doi.org/10.1145/2872518.2889394

Yeo, Jinyoung ; Kim, Sungchul ; Koh, Eunyee et al. / Browsing2purchase : Online Customer Model for Sales Forecasting in an E-Commerce Site. WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web. Association for Computing Machinery, Inc, 2016. pp. 133-134 (WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web).

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abstract = "This paper covers a sales forecasting problem on e-commerce sites. To predict product sales, we need to understand customers' browsing behavior and identify whether it is for purchase purpose or not. For this goal, we propose a new customer model, B2P, of aggregating predictive features extracted from customers' browsing history. We perform experiments on a real world e-commerce site and show that sales predictions by our model are consistently more accurate than those by existing state-of-the-art baselines.",

author = "Jinyoung Yeo and Sungchul Kim and Eunyee Koh and Hwang, {Seung Won} and Nedim Lipka",

note = "Funding Information: This work was supported by a grant of the Institute for Information & Communications Technology Promotion (IITP) funded by the Korea government (MSIP) (No. 10041244, SmartTV 2.0 Software Platform). Publisher Copyright: {\textcopyright} 2016 owner/author(s).; 25th International Conference on World Wide Web, WWW 2016 ; Conference date: 11-05-2016 Through 15-05-2016",

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language = "English",

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Yeo, J, Kim, S, Koh, E, Hwang, SW & Lipka, N 2016, Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site. in WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web. WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web, Association for Computing Machinery, Inc, pp. 133-134, 25th International Conference on World Wide Web, WWW 2016, Montreal, Canada, 16/5/11. https://doi.org/10.1145/2872518.2889394

Browsing2purchase : Online Customer Model for Sales Forecasting in an E-Commerce Site. / Yeo, Jinyoung; Kim, Sungchul; Koh, Eunyee et al.

WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web. Association for Computing Machinery, Inc, 2016. p. 133-134 (WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - This paper covers a sales forecasting problem on e-commerce sites. To predict product sales, we need to understand customers' browsing behavior and identify whether it is for purchase purpose or not. For this goal, we propose a new customer model, B2P, of aggregating predictive features extracted from customers' browsing history. We perform experiments on a real world e-commerce site and show that sales predictions by our model are consistently more accurate than those by existing state-of-the-art baselines.

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Yeo J, Kim S, Koh E, Hwang SW, Lipka N. Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site. In WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web. Association for Computing Machinery, Inc. 2016. p. 133-134. (WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web). doi: 10.1145/2872518.2889394

Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site

Abstract

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