Research on Contextual Recommendation System of Agricultural Science and Technology Resource Based on User Portrait

Abstract

Under the new situation of rapid development of information technology and increasingly diversified demands of farmers, agricultural information service is also faced with many problems, such as the traditional information service system is difficult to quickly and accurately find the information required by users in the mass information, and the universal information service form cannot meet the growing personalized needs of users. In view of the above problems, this paper explores the application of user portrait technology in agriculture. Through in-depth analysis of the purpose of drawing portrait of agricultural users, characteristics of the agricultural industry and actual needs of agricultural information service, it builds a user portrait model in the agricultural field. At the same time, the situational recommendation system of agricultural science and technology resources based on user portraits is constructed by comprehensively considering the influence of multidimensional situational factors such as the time, geographical location, categories of agricultural production and changes in users’ interests on the demand for agricultural information resources. Through practical application, the system realizes the individualized recommendation of agricultural information resources based on situational awareness and user interest adaptation, and satisfies the individualized demand of agricultural users for agricultural information better.