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Factorization Models for Forecasting Student Performance, Thai-Nghe+, EDM, 2011 #295

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AkihikoWatanabe opened this issue Dec 22, 2018 · 2 comments

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AdaptiveLearning EducationalDataMining StudentPerformancePrediction

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AkihikoWatanabe commented Dec 22, 2018

https://www.researchgate.net/profile/Tomas_Horvath/publication/221570491_Factorization_Models_for_Forecasting_Student_Performance/links/00b49538cb92e2a52b000000/Factorization-Models-for-Forecasting-Student-Performance.pdf

AkihikoWatanabe added AdaptiveLearning EducationalDataMining StudentPerformancePrediction labels

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AkihikoWatanabe commented Dec 22, 2018

student performanceは、推薦システムの問題において、下記の２種類にcastできる：

rating prediction task, すなわち、ユーザ・アイテム・ratingを、生徒・タスク・パフォーマンスとみなす
sequentialなエフェクトを考慮して、forecasting problemに落とす

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AkihikoWatanabe commented Dec 22, 2018 •

edited

TensorFactorizationで、欠損値を予測
cold-start problem（new-user, new item）への対処としては、global averageをそれぞれ用いることで対処（more sophisticatedなやり方が提案されているとも述べている）

使用している手法としては、この辺？
https://pdfs.semanticscholar.org/8e6b/5991f9c1885006aa204d80cc2c23682d8d31.pdf

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