Abstract
With the development of mobile Internet and the popularity of smartphones, the mobile phone has become the preferred tool for farmers to get information online instead of computers. Therefore, the use of mobile phone to solve the information transmission “last kilometer” problem, will be the most convenient and efficient way. On the basis of possessing a large quantity of high quality agricultural information resources, this paper makes deep processing of information, at the same time, based on mobile terminals, collects the multidimensional factors such as real-time situation information, user history browsing behavior and interest, expands vector space model, designs the agricultural information recommendation algorithm of situational perception and interest adaptation. Finally, the research and development of agricultural information recommendation system is realized. This system will provide farmers with accurate agricultural science and technology information and expert intelligence to meet the needs of thousands of people.
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