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An Effective Recommender Algorithm for Cold-Start Problem in Academic Social Networks
المؤلفون المشاركون
Kumar, Sameer
Shamshirband, Shahaboddin
Kasirun, Zarinah Mohd
Rohani, Vala Ali
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-03-18
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Abundance of information in recent years has become a serious challenge for web users.
Recommender systems (RSs) have been often utilized to alleviate this issue.
RSs prune large information spaces to recommend the most relevant items to users by considering their preferences.
Nonetheless, in situations where users or items have few opinions, the recommendations cannot be made properly.
This notable shortcoming in practical RSs is called cold-start problem.
In the present study, we propose a novel approach to address this problem by incorporating social networking features.
Coined as enhanced content-based algorithm using social networking (ECSN), the proposed algorithm considers the submitted ratings of faculty mates and friends besides user’s own preferences.
The effectiveness of ECSN algorithm was evaluated by implementing it in MyExpert, a newly designed academic social network (ASN) for academics in Malaysia.
Real feedbacks from live interactions of MyExpert users with the recommended items are recorded for 12 consecutive weeks in which four different algorithms, namely, random, collaborative, content-based, and ECSN were applied every three weeks.
The empirical results show significant performance of ECSN in mitigating the cold-start problem besides improving the prediction accuracy of recommendations when compared with other studied recommender algorithms.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Rohani, Vala Ali& Kasirun, Zarinah Mohd& Kumar, Sameer& Shamshirband, Shahaboddin. 2014. An Effective Recommender Algorithm for Cold-Start Problem in Academic Social Networks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-447444
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Rohani, Vala Ali…[et al.]. An Effective Recommender Algorithm for Cold-Start Problem in Academic Social Networks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-447444
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Rohani, Vala Ali& Kasirun, Zarinah Mohd& Kumar, Sameer& Shamshirband, Shahaboddin. An Effective Recommender Algorithm for Cold-Start Problem in Academic Social Networks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-447444
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-447444
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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