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- Title
基于用户评论的农业新技术推荐模型设计 与应用展望.
- Authors
刘伟; 刘世洪; 王翠; 宋林鹏
- Abstract
In recent years, the application of recommendation system has made rapid progress. The emergence of big data and artificial intelligence technology provides a broad space and prospect for the accelerated development of agricultural informatization. In order to improve the application of recommendation technology in the agricultural field and meet the information acquisition needs of agricultural users, the traditional collaborative filtering recommendation algorithm was improved to some extent, focusing on the integration of K-means algorithm and BIRCH algorithm for cluster analysis, through the construction of HowNet polarity dictionary to solve the problem that traditional collaborative filtering methods over-rely on users' specific ratings, and a personalized recommendation model was proposed, using related data sources to verify the model. The experimental results showed that the model runs stably and can achieve the purpose of accurately recommending agricultural technical information.
- Subjects
K-means clustering; AGRICULTURAL development; CLUSTER analysis (Statistics); RECOMMENDER systems; ARTIFICIAL intelligence; AGRICULTURAL technology
- Publication
Agricultural Outlook (1673-3908), 2023, Vol 19, Issue 8, p100
- ISSN
1673-3908
- Publication type
Article