Abstract
To provide the personalized services for learners according to user’s learning behavior, firstly, through theory of Fuzzy Ontology, the ambiguity and uncertainty of information in E-learning recommendation system was analyzed, and fuzzy information was extended to the ontology. Secondly, the user interest estimation based on behavior was studied in term of user’s learning preferences and cognitive status, user profile was described by the learning object, and then a user model updating algorithm was proposed. Finally, a fuzzy recommendation system based on user profile was built. As verified by experiment, the results have shown that the system can provided the personalized learning services according to user’s learning behavior, and it is useful in describing user preferences.
Highlights
With the rapid development of educational information technology, network technology and the various teaching tools were widely used in the teaching process
The user interest estimation based on behavior was studied in term of user’s learning preferences and cognitive status, user profile was described by the learning object, and a user model updating algorithm was proposed
The results have shown that the system can provided the personalized learning services according to user’s learning behavior, and it is useful in describing user preferences
Summary
With the rapid development of educational information technology, network technology and the various teaching tools were widely used in the teaching process. To describe the fuzzy concept and fuzzy relation of imprecise, uncertain and fuzzy information, fuzzy theory was extended to the ontology [3], and made it be formed fuzzy ontology, because fuzzy ontology can deal with fuzzy knowledge, and can describe and retrieve text and multimedia objects in the fuzzy information To this end, a fuzzy ontology based on user profile was introduced, and a method to describe user profile was proposed. Domain ontology was expanded, and user preferences, interests and hobbies were described, and the teaching activities in E-learning recommendation system were elaborated For learning object, they can use fuzzy logic to define, implement, verify and improve the performance of retrieval, classification and management, and can construct fuzzy ontology process based on user profile, and can apply user profile into the recommendation system[4]
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