کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
384045 | 660839 | 2010 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Commodity recommendations of retail business based on decisiontree induction
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
Collaborative filtering is an extensively adopted approach for commodity recommendation. This investigation presents a collaborative filtering method to support commodity recommendation of retail business according to customer preferences. Moreover, a novel recommendation methodology based on decision tree induction is also proposed to obtain further effectiveness and quality of recommendations. Effectiveness of the proposed method is evaluated by implementing a recommender system based on data mining and analyzing real retail business data to demonstrate the operability of the system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 37, Issue 5, May 2010, Pages 3685–3694
Journal: Expert Systems with Applications - Volume 37, Issue 5, May 2010, Pages 3685–3694
نویسندگان
Shao-Lun Lee,