Design of Personalized Agricultural Information Recommended Based on Data Extracted

Abstract:

In order to improve the accuracy and efficiency of agricultural information service, a personalized recommended service strategy is proposed, which based on data extracted. This recommended strategy combined the characteristics of farmers with agricultural information services, and improved the individual applicability of recommendation, also provided a new way to overcome the collaborative recommended sparse matrix.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 2016-2020
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.2016
• Online since: August 2013
• Authors: Feng Yu, Xiao Ming Wang, Qian Zhang, Ru Peng Luan, Xin Liu
• Keywords: Accurate Information Services, Agricultural Information Service, Intelligent Recommendation, Personalized Recommendation

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