دوره 15، شماره 2 - ( 6-1397 )
جلد 15 شماره 2 صفحات 132-119 |
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Hosseini M, Nasrollahi M, Baghaei A. A hybrid recommender system using trust and bi-clustering in order to increase the efficiency of collaborative filtering. JSDP 2018; 15 (2) :119-132
URL: http://jsdp.rcisp.ac.ir/article-1-613-fa.html
URL: http://jsdp.rcisp.ac.ir/article-1-613-fa.html
حسینی منیره، نصرالهی مقصود، بقائی علی. یک سامانه توصیهگر ترکیبی با استفاده از اعتماد و خوشه‌بندی دوجهته بهمنظور افزایش کارایی پالایشگروهی. پردازش علائم و داده‌ها. 1397; 15 (2) :119-132
دانشگاه صنعتی خواجه نصیرالدین طوسی
چکیده: (5575 مشاهده)
موفقیت سامانههای تجارت الکترونیکی و تراکنشهای کسبوکار برخط، بهطور قابل توجهی وابسته به طراحی مؤثر سازوکار توصیه محصولات است. فراهمکردن توصیههای باکیفیت برای سامانههای تجارت الکترونیکی بسیار مهم است تا بدینترتیب به کاربران در تصمیمگیری مؤثر میان انتخابهای متعدد کمک کند. پالایشگروهی یک روش برای تولید توصیهها بر اساس رتبههای کاربران مشابه است که بهصورت وسیعی مورد قبول واقع شده است. این روش دارای چندین مشکل ذاتی مانند کمپشتی داده‌ها، شروع سرد و مقیاسپذیری است. حل این مشکلات و بهبود کارایی پالایشگروهی از چالشهای مطرح در این زمینه است. در این مقاله یک سامانه ترکیبی جدید که شبکه اعتماد و خوشه‌بندی دوجهته را برای افزایش کارایی پالایشگروهی به‌کار میبندد، پیشنهاد شده است. نتایج تجربی بر روی زیرمجموعه‌ای از مجموعهدادههای epinions، اثربخشی و کارایی سامانه پیشنهادی در مقابل روشهای پالایش گروهی مبتنی بر کاربر و پالایش گروهی ترکیبی با اعتماد را تأیید میکند.
نوع مطالعه: كاربردي |
موضوع مقاله:
مقالات پردازش داده‌های رقمی
دریافت: 1396/4/3 | پذیرش: 1397/2/26 | انتشار: 1397/6/25 | انتشار الکترونیک: 1397/6/25
دریافت: 1396/4/3 | پذیرش: 1397/2/26 | انتشار: 1397/6/25 | انتشار الکترونیک: 1397/6/25
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