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| Lable-based Hybrid Recommendation Algorithm: Implementation and Analysis |
| Ruiguo Yu, Hongyue Mao, Zan Wang, Minjie Zhang, Zhenxia Yuan, Muwen He, Peng Chang |
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Abstract Recommendation system, as an information filtering method, has been
widely applied and the hybrid recommendation algorithm is by far the
most commonly used technique. But in the field of online learning
system, recommendation system is not mature enough. In this paper,
we analyzed the Tianjin University Online Judge, established a model
to apply the recommendation algorithm to it, and then proposed a
label-based hybrid recommendation algorithm which is applicable to
the system. Also, by conducting experiments on real users' data of
Tianjin University Online Judge System, we evaluated our
algorithm and obtained good results.
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| DOI:10.12733/jics20105696 |
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