Research Of The Context-Oriented Recommendation Technology In Agricultural Information

With the development of rural informatization in recent years,rural community residents can enjoy the agriculture,news,life and other kinds of information provided by Internet.However,all kinds of resources are growing at the rate of explosive,the problem such as "information overload" has begun to restrict the user to the learn more from information resources.To provide a quick actively,basing on users' context of agriculture information recommendation service is very necessary.In this paper,through context awareness,ontology language and the introduction of collaborative filtering recommendation model of context to analyze the context-oriented agricultural information recommendation method,establish a context awareness model of agricultural user based on ontology,and put forward the collaborative filtering recommendation algorithm integrated with context factors.(1)A user context awareness model based on ontology is proposed.This model uses the server to obtain the user's current context,in addition to using the ontology OWL language for user context modeling.(2)On the basis of user ontology modeling,an algorithm for the conversion of ontology OWL to relational database is proposed.Convert the content of complex OWL documents to relational database by using the shared inline technology and the method of interception path.The form quantity,the time complexity and the data redundancy which are generated in the relational database are improved,and the user's context information is obtained more easily.(3)A recommendation model based on collaborative filtering algorithm under mobile context is proposed,aiming at the problem of insufficient degree of integration between the existing algorithms and context,context-oriented collaborative filtering recommendation system model is designed based on the traditional collaborative filtering algorithm.Using MAE and F1 evaluation indicators to assess the recommended quality between the model and the context filtering as well as the method of context modeling.Integrate the context-oriented agricultural information recommendation system on the basis of two sub-models mentioned above,after obtaining the user's current context,complete the information recommendation by integrating the context information and the traditional collaborative filtering algorithm.