AI-Based Recommendation Systems: The Ultimate Solution for Market Prediction and Targeting-Reference-Cited by-同舟云学术

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AI-Based Recommendation Systems: The Ultimate Solution for Market Prediction and Targeting

Published:2023 Issue: Volume: Page:683-704
ISSN:
Container-title:The Palgrave Handbook of Interactive Marketing
language:
Short-container-title:

Author:

Habil Sandra,El-Deeb Sara,El-Bassiouny Noha

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-14961-0_30

Reference89 articles.

1. Adadi, A., & Berrada, M. (2018). Peeking inside the black-box: A survey on explainable artificial intelligence (XAI). IEEE Access, 6, 52138–52160.

2. Adapa, S., Fazal-e-Hasan, S. M., Makam, S. B., Azeem, M. M., & Mortimer, G. (2020). Examining the antecedents and consequences of perceived shopping value through smart retail technology. Journal of Retailing and Consumer Services, 52, 101901.

3. Aiolfi, S., Bellini, S., & Pellegrini, D. (2021). Data-driven digital advertising: Benefits and risks of online behavioral advertising. International Journal of Retail & Distribution Management, 49(7), 1089–1110. https://doi.org/10.1108/IJRDM-10-2020-0410

4. Alghamdi, N., & Assiri, F. (2020). Solving the cold-start problem in recommender systems using contextual information in Arabic from calendars. Arabian Journal for Science and Engineering, 45(12), 10939–10947.

5. Alimamy, S., & Gnoth, J. (2022). I want it my way! The effect of perceptions of personalization through augmented reality and online shopping on customer intentions to co-create value. Computers in Human Behavior, 128, 107105.

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