A Triangular Personalized Recommendation Algorithm for Improving Diversity
المؤلفون المشاركون
Cai, Biao
Yang, Xiaowang
Huang, Yusheng
Li, Hongjun
Sang, Qiang
المصدر
Discrete Dynamics in Nature and Society
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-03-27
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Recommendation systems are used when searching online databases.
As such they are very important tools because they provide users with predictions of the outcomes of different potential choices and help users to avoid information overload.
They can be used on e-commerce websites and have attracted considerable attention in the scientific community.
To date, many personalized recommendation algorithms have aimed to improve recommendation accuracy from the perspective of vertex similarities, such as collaborative filtering and mass diffusion.
However, diversity is also an important evaluation index in the recommendation algorithm.
In order to study both the accuracy and diversity of a recommendation algorithm at the same time, this study introduced a “third dimension” to the commonly used user/product two-dimensional recommendation, and a recommendation algorithm is proposed that is based on a triangular area (TR algorithm).
The proposed algorithm combines the Markov chain and collaborative filtering method to make recommendations for users by building a triangle model, making use of the triangulated area.
Additionally, recommendation algorithms based on a triangulated area are parameter-free and are more suitable for applications in real environments.
Furthermore, the experimental results showed that the TR algorithm had better performance on diversity and novelty for real datasets of MovieLens-100K and MovieLens-1M than did the other benchmark methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Cai, Biao& Yang, Xiaowang& Huang, Yusheng& Li, Hongjun& Sang, Qiang. 2018. A Triangular Personalized Recommendation Algorithm for Improving Diversity. Discrete Dynamics in Nature and Society،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1152462
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Cai, Biao…[et al.]. A Triangular Personalized Recommendation Algorithm for Improving Diversity. Discrete Dynamics in Nature and Society No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1152462
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Cai, Biao& Yang, Xiaowang& Huang, Yusheng& Li, Hongjun& Sang, Qiang. A Triangular Personalized Recommendation Algorithm for Improving Diversity. Discrete Dynamics in Nature and Society. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1152462
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1152462
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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