کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10323161 | 660909 | 2005 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce](/preview/png/10323161.png)
چکیده انگلیسی
In this paper we firstly analyze limitation of collaborative filtering based on user and collaborative filtering based on item algorithms respectively and emphatically make explain why collaborative filtering based on user is not adaptive to Multiple-interests and Multiple-content recommendation. Based on analysis, we present collaborative filtering based on item and user for Multiple-interests and Multiple-content recommendation. Finally, we experimentally evaluate the results and compare them with collaborative filtering based on user and collaborative filtering based on item, respectively. The experiments suggest that collaborative filtering based on item and user provide better recommendation quality than collaborative filtering based on user and collaborative filtering based on item dramatically.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 28, Issue 1, January 2005, Pages 67-77
Journal: Expert Systems with Applications - Volume 28, Issue 1, January 2005, Pages 67-77
نویسندگان
Yu Li, Liu Lu, Li Xuefeng,