Agriculture Information Recommendation System Based on Content Filtering
Zhuang Jing-ming, Mingwen Wang, Ye Maosheng · Jisuanji gongcheng · 2012
To realize the personalized recommendatory service effectively,the content-based filtering recommendatory technology is adopted in the design process of the agriculture information recommendation system.A new user comprehensive interest model is presented.The model can calculate the similarity of user and the document by the synthetically weights of background,reading and operation behavior factors of users,and recommend document to users based on this.By the practical tests,the results show that increasing the weights of user’s reading and operating behavior in model can effectively improve the recommended precision.