کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11263018 | 1798843 | 2019 | 26 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
FRAIPA version 2: A fast recommendation approach based on self-adaptation and multi-thresholding
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In this paper, we propose a fast recommendation algorithm based on self-adaptation and multi-thresholding. It is designed to deal with the mentioned drawbacks, and improve the prediction quality. In addition, it is able to converge automatically. Extensive experiments on two real-world data sets demonstrate that our proposed method can achieve significantly better performance than other state-of-the-art methods. Particularly, it improves the MAE between 1.02% and 12.93%, and the computational time between 25.38% and 54.83%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 118, 15 March 2019, Pages 209-216
Journal: Expert Systems with Applications - Volume 118, 15 March 2019, Pages 209-216
نویسندگان
Badr Ait Hammou, Ayoub Ait Lahcen, Salma Mouline,