2019
DOI: 10.1007/978-3-030-06137-1_45
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Field Information Recommendation Based on Context-Aware and Collaborative Filtering Algorithm

Abstract: Personalized recommendation technology is a valid way to solve the problem of "information overload". In the face the complexity of agricultural field information and problems of farmers' preference prediction accuracy which is not high, this paper proposes a kind of recommendation algorithm based on context-aware and collaborative filtering(CACF). The algorithm constructs the "user-item-context" 3D user interest model which contains the context information. Through calculating context similarity and adopting … Show more

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