The Transformational Role of Artificial Intelligence in E-Commerce Financial Services
DOI:
https://doi.org/10.53469/jtpms.2023.03(12).04Keywords:
e-commerce, intelligent recommender systems, collaborative filtering, diversity, digitizationAbstract
This paper discusses the higher requirements for recommender systems in the context of the increasing volume of e-commerce users, information and commodities. The article focuses on the intelligent recommendation method based on collaborative filtering technology, which can be combined with the user's personal preferences and habits for personalized recommendation, while using the recommendation system to discover and display long-tailed commodities, promote the utilization and transformation of commodities, and meet the development of market diversification. The study first analyzes the implementation principle of collaborative filtering algorithm, and then based on the demand characteristics of e-commerce platforms, it constructs different steps of the intelligent recommendation method, including data preprocessing, similarity calculation, recommendation generation and evaluation, and puts forward the conditions for the implementation of existing algorithms.
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