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This study also aims to streamline and refine the product purchasing process. To ease the user\u2019s decision-making, an innovative design for the user terminal\u2019s official account is proposed, creating an effective communication link between users and automated sales products. Second, based on the traditional user-based collaborative filtering recommendation algorithm, user characteristics, time factors, and promotion functions are integrated into the product recommendation algorithm model. To ensure the timeliness of recommendation information and avoid resource waste caused by expired products, time factors and promotion functions are incorporated into the recommendation algorithm model. Finally, a comprehensive test is conducted on the performance of the product recommendation system designed in this experiment. The results show that the average absolute error of the recommended model is reduced by 4.3%, and the improvement effect is significant. The average accuracy rate is increased by about 3.0% compared with the traditional recommendation algorithm. This paper aims to provide important technical support for the improvement of the product recommendation algorithm in the automatic sale system. Besides, this paper provides users with good recommendation services and convenient product purchase processes.<\/jats:p>","DOI":"10.1177\/14727978241299492","type":"journal-article","created":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T04:22:21Z","timestamp":1738297341000},"page":"4101-4116","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["The commodity recommendation algorithm for automatic security sale system based on the internet of things"],"prefix":"10.66113","volume":"24","author":[{"given":"Zhi","family":"Li","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Hunan Women\u2019s University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuxuan","family":"Yao","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Hunan Mechanical and Electrical Polytechnic, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Yuan","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Hunan Mechanical and Electrical Polytechnic, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","published-online":{"date-parts":[[2024,12,5]]},"reference":[{"issue":"1","key":"e_1_3_2_2_2","first-page":"1106","article-title":"Influence of different sales models on psychological reactance of consumers in online shopping of fresh fruits","volume":"29","author":"Wu J","year":"2020","unstructured":"Wu J, Wang HX. 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