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Personalized recommendation is hot issue in information management system nowadays. With the technology, it can improve the QOS of information service. In this paper, we present a new user profile model based on semantic meta-model of digital resource, using implicit feedback, the users' profiles can be adjusted in time. Comparing the 'like' query in the standard SQL in relational databases, which...
Be aimed at solve the problem of insufficiency of personalized recommendation function in the open and distance learning (ODL) information services, this article puts forward a learning management system with personalized recommendation function (RLMS) based on agent. A learner agent (LA) is set up, which substitutes an online learner, maintains and analyzes learners' actions and interest. A recommendation...
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