Modeling and Applying Implicit Dormant Features for Recommendation via Clustering and Deep Factorization

E-commerce systems experience poor quality of performance when the number of records in the customer database increases due to the gradual growth of customers and products. Applying implicit hidden features into the recommender system (RS) plays an important role in enhancing its performance due to...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Sensors
المؤلفون الرئيسيون:	Alpamis Kutlimuratov, Akmalbek Bobomirzaevich Abdusalomov, Rashid Oteniyazov, Sanjar Mirzakhalilov, Taeg Keun Whangbo
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2022-10-01
الموضوعات:	recommendation system clustering-based recommendation system heterogeneous information weighted nonnegative matrix factorization implicit features tag information
الوصول للمادة أونلاين:	https://www.mdpi.com/1424-8220/22/21/8224