Recommendation in Offline Stores-Reference-Cited by-同舟云学术

Recommendation in Offline Stores

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Shin Jongkyung¹,Lee Changhun¹,Lim Chiehyeon¹,Shin Yunmo²,Lim Junseok²

Affiliation:

1. Ulsan National Institute of Science and Technology, Ulsan, South Korea

2. Retailtech Co., Ltd., Seoul, South Korea

Funder

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Institute of Information & Communications Technology Planning & Evaluation, South Korea

Ministry of Trade, Industry and Energy, South Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539199

Reference41 articles.

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3. Indoor location based services challenges, requirements and usability of current solutions

4. Luka Batisti? and Mladen Tomic . 2018 . Overview of indoor positioning system technologies . In Proceedings of the 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). 0473--0478 . Luka Batisti? and Mladen Tomic. 2018. Overview of indoor positioning system technologies. In Proceedings of the 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). 0473--0478.

5. Top-K Off-Policy Correction for a REINFORCE Recommender System