Data Mining of E-Commerce Enterprise User Preferences in the Context of Big Data-Reference-Cited by-同舟云学术

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Data Mining of E-Commerce Enterprise User Preferences in the Context of Big Data

Published:2022 Issue: Volume: Page:700-707
ISSN:2367-4512
Container-title:Cyber Security Intelligence and Analytics
language:
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Author:

Yang Lielong,Yin Xingtan

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-96908-0_87

Reference12 articles.

1. Han, Y.: Analysis of online and offline e-commerce user data mining process based on big data technology. Dig. World (10), 134–134 (2018)

2. Geng, Y.: Research on data mining of online and offline e-commerce users based on big data (2014-18), 119 (2021)

3. Song, H., Jiang, F.: Data mining of online and offline e-commerce users based on big data. Electron. Technol. Softw. Eng. (16), 160–160 (2017)

4. Popchev, I., Ketipov, R., Angelova, V.: Risk averseness and emotional stability in e-commerce. Cybern. Inform. Technol. 21(3), 73–84 (2021)

5. Linda, S., Minz, S., Bharadwaj, K.K.: Fuzzy-genetic approach to context-aware recommender systems based on the hybridization of collaborative filtering and reclusive method techniques. AI Commun. 32(2), 1–17 (2019)

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1. The Promotion of College Students’ Personalized Reading Based on Data Mining Technology;Lecture Notes in Electrical Engineering;2023

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