Research on Recommendation System of Agricultural Product Logistics Scale Control Based on Consumer Behavior
- DOI
- 10.2991/978-94-6463-016-9_59How to use a DOI?
- Keywords
- consumer preference; agricultural product scale control; recommendation system
- Abstract
With the rapid development of economy and society, consumers’ preferences for agricultural products tend to be diversified and personalized. However, a single recommendation system can hardly meet the rational needs of consumers for the safety, health, personality, culture and services of agricultural products. According to consumer behavior, this paper calculates and optimizes the recommendation algorithm, and uses the information of the agricultural product trading platform to make quick decisions. First, control the production volume, storage scale, circulation volume and logistics cost of agricultural products; Secondly, establish the network structure of the agricultural product logistics recommendation system, realize the optimal and fast distribution of agricultural products, meet the increasingly diversified and personalized needs of consumers, and maximize the economic and social benefits.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yanli Jiao AU - Shanshan Zhang AU - Haiyan Lv PY - 2022 DA - 2022/12/07 TI - Research on Recommendation System of Agricultural Product Logistics Scale Control Based on Consumer Behavior BT - Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022) PB - Atlantis Press SP - 569 EP - 576 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-016-9_59 DO - 10.2991/978-94-6463-016-9_59 ID - Jiao2022 ER -