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For many students, course recommendation is a troublesome problem. To choose satisfying courses when they only have a little of information about the courses, they have to turn to common course schedule systems for help, but the result is disappointing. To solve the problem, the method of scoring similarity of courses and clustering courses based on course descriptions is presented. Different from...
MOOC is characterized by large amount of users and curriculums. The current main MOOC platforms are divided into information isolated island. So how to dynamic uniformly recommend courses to users that he or she is interested in, which is one of the challenges of such teaching network nowadays. MOOC course recommender system is a kind of knowledge service system based on the recommended models so...
With the popularization development of MOOC platform, the number of online courses grows rapidly. Efficient and appropriate course recommendation can improve learning efficiency. Traditional recommendation system is applied to the closed educational environment in which the quantity of courses and users is relatively stable. Recommendation model and algorithm cannot directly be applied to MOOC platform...
In open and distance education field, making use of data mining technologies to understand students' practical needs and usage habits about professional courses, which will greatly enhance students learning. China Open University system is Chinese largest scale organization engaging in open and distance education, and it has taken Chinese education ministry's a rural education project, called "one...
Every semester, university students need to decide their course programs, and as the number of course offerings increase, it becomes challenge to form a schedule for the semester courses to be taken. In addition, students might have difficulty in finding courses that can match their schedules and course preferences. In order to address these problems, we build Mecanin, an online platform for Boğaziçi...
BM25 is a well known ranking method to measure the relevance of the matching documents to a query.BM25 ranking functions can be used in recommendation when the query is transferred to represent userspsila interest. However, in this scenario,terms in the query need to be handled differently because they may come from sources that users have different levels of interests in. For example, some terms...
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