Otwarty dostęp

Research and Application of User Behavior Data Analysis Technology for E-commerce

,  oraz   
27 lut 2025

Zacytuj
Pobierz okładkę

Butmeh, H., & Abu-Issa, A. (2024). Hybrid attribute-based recommender system for personalized e-learning with emphasis on cold start problem. Frontiers in Computer Science, 6. Search in Google Scholar

Esmeli, R., Abdullahi, H., Bader-El-Den, M., & Can, A. S. (2024). Session context data integration to address the cold start problem in e-commerce recommender systems. Decision Support Systems, 187. Search in Google Scholar

Ayemowa, M. O., Ibrahim, R., & Khan, M. M. (2024). Analysis of recommender system using generative artificial intelligence: A systematic literature review. IEEE Access, 12, 87742–87766. Search in Google Scholar

Azri, A., Haddi, A., & Allali, H. (2024). IUAutoTimeSVD++: A hybrid temporal recommender system integrating item and user features using a contractive autoencoder. Information, 15(4). Search in Google Scholar

Bai, T., Wang, X. T., Zhang, Z. H., Song, W., Wu, B., & Nie, J. Y. (2024). GPR-OPT: A practical Gaussian optimization criterion for implicit recommender systems. Information Processing & Management, 61(1). Search in Google Scholar

Boppana, V., & Sandhya, P. (2023). Distributed focused web crawling for context-aware recommender system using machine learning and text mining algorithms. International Journal of Advanced Computer Science and Applications, 14(3), 601–616. Search in Google Scholar

Cai, Z., Tang, T., Yu, S., Xiao, Y. P., & Xia, F. (2024). Marking the pace: A blockchain-enhanced privacy-traceable strategy for federated recommender systems. IEEE Internet of Things Journal, 11(6), 10384–10397. Search in Google Scholar

Dilekh, T., Benharzallah, S., Mokeddem, A., & Kerdoudi, S. (2024). Dynamic context-aware recommender system for home automation through synergistic unsupervised and supervised learning algorithms. Acta Informatica Pragensia, 13(1), 38–61. Search in Google Scholar

Duran, P. G., Gilabert, P., Seguí, S., & Vitrià, J. (2024). Overcoming diverse undesired effects in recommender systems: A deontological approach. ACM Transactions on Intelligent Systems and Technology, 15(4). Search in Google Scholar

Eichinger, T., & Küpper, A. (2024). On data minimization and anonymity in pervasive mobile-to-mobile recommender systems. Pervasive and Mobile Computing, 103. Search in Google Scholar

El Idrissi, L. E., Akharraz, I., & Ahaitouf, A. (2023). Personalized e-learning recommender system based on autoencoders. Applied System Innovation, 6(6). Search in Google Scholar

Fan, W. Q., Zhao, X. Y., Li, Q., Derr, T., Ma, Y., Liu, H., Wang, J. P., & Tang, J. L. (2023). Adversarial attacks for black-box recommender systems via copying transferable cross-domain user profiles. IEEE Transactions on Knowledge and Data Engineering, 35(12), 12415–12429. Search in Google Scholar

Fang, H., Sha, L. Y. X., & Liang, J. D. (2024). Multimodal recommender system based on multi-channel counterfactual learning networks. Multimedia Systems, 30(5). Search in Google Scholar

Haces, G., Medina, J. M., Roque, R. V., Macias, J. C., & Aguirre, H. G. (2024). Factors of adoption of electronic commerce in SMEs in Mexico. TEM Journal-Technology Education Management Informatics, 13(2), 1413–1422. Search in Google Scholar

Jauregui-Velarde, R., Arias, F. G. C., Salazar, J. L. H., Cabanillas-Carbonell, M., & Andrade-Arenas, L. (2022). Mobile application design: Sale of clothes through electronic commerce. International Journal of Advanced Computer Science and Applications, 13(7), 801–809. Search in Google Scholar

Patro, S. G. K., Mishra, B. K., Panda, S. K., Hota, A., Kumar, R., Lyu, S., & Taniar, D. (2023). A conscious cross-breed recommendation approach confining cold-start in electronic commerce systems. IEEE Access, 11, 82857–82870. Search in Google Scholar

Vuta, D. R., Nichifor, E., Tierean, O. M., Zamfirache, A., Chitu, I. B., Foris, T., & Bratucu, G. (2022). Extending the frontiers of electronic commerce knowledge through cybersecurity. Electronics, 11(14). Search in Google Scholar

Xiao, Y. Y. (2022). Compensation method of electronic commerce data transmission delay based on fuzzy encryption algorithm. Mobile Networks & Applications, 27(4), 1339–1348. Search in Google Scholar

Alnoor, A., Tiberius, V., Atiyah, A. G., Khaw, K. W., Yin, T. S., Chew, X. Y., & Abbas, S. (2024). How positive and negative electronic word of mouth (eWOM) affects customers' intention to use social commerce? A dual-stage multi-group SEM and ANN analysis. International Journal of Human-Computer Interaction, 40(3), 808–837. Search in Google Scholar

Dai, Y. Y., Huang, Z. W., He, W. J., Khan, N., & Yang, Y. (2024). Emotional dialogue generation model of electronic commerce intelligent customer service based on topic expansion. Engineering Applications of Artificial Intelligence, 138. Search in Google Scholar

Ehikioya, S. A., & Zeng, J. B. (2021). Mining web content usage patterns of electronic commerce transactions for enhanced customer services. Engineering Reports, 3(11). Search in Google Scholar

Ho, S. C., & Chuang, W. L. (2023). Identifying and prioritizing the critical quality attributes for business-to-business cross-border electronic commerce platforms. Electronic Commerce Research and Applications, 58. Search in Google Scholar

Xu, X., Luo, C., Luo, X., & Wang, Z. (2024). Examining how emotions affect online audience retention: Empirical evidence from livestreaming electronic commerce platforms. Information & Management, 61(7). Search in Google Scholar

Xu, Y. D., & Ibrahim, N. F. (2024). Cross-domain aspect-based sentiment analysis for enhancing customer experience in electronic commerce. Advances in Artificial Intelligence and Machine Learning, 4(3), 2593–2613. Search in Google Scholar

Yang, G. D., Li, K. Y., Zhang, Y. F., & Feng, Q. D. (2024). End-to-end modeling and long short-term memory application in time series modeling: Modeling and prediction of electronic commerce user behavior. Journal of Organizational and End User Computing, 36(1). Search in Google Scholar

Yuan, L. Y., & Dennis, A. R. (2024). Selling myself: Anthropomorphic products in electronic commerce. Decision Support Systems, 177. Search in Google Scholar

Zhao, Z. J., Yang, Y. T., Liang, J., Garcia-Campayo, J., Wang, Z. W., Perez, H. M., Li, H. Q., & Borao, L. (2023). An empirical analysis of trust, perceived benefit, and purchase intention in C2C electronic commerce in China. Journal of Organizational and End User Computing, 35(3). Search in Google Scholar

Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Nauki biologiczne, Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka, Fizyka, inne