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Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph
المؤلفون المشاركون
Liu, Hanwen
Kou, Huaizhen
Yan, Chao
Qi, Lianyong
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-04-24
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Nowadays, scholar recommender systems often recommend academic papers based on users’ personalized retrieval demands.
Typically, a recommender system analyzes the keywords typed by a user and then returns his or her preferred papers, in an efficient and economic manner.
In practice, one paper often contains partial keywords that a user is interested in.
Therefore, the recommender system needs to return the user a set of papers that collectively covers all the queried keywords.
However, existing recommender systems only use the exact keyword matching technique for recommendation decisions, while neglecting the correlation relationships among different papers.
As a consequence, it may output a set of papers from multiple disciplines that are different from the user’s real research field.
In view of this shortcoming, we propose a keyword-driven and popularity-aware paper recommendation approach based on an undirected paper citation graph, named PRkeyword+pop.
At last, we conduct large-scale experiments on the real-life Hep-Th dataset to further demonstrate the usefulness and feasibility of PRkeyword+pop.
Experimental results prove the advantages of PRkeyword+pop in searching for a set of satisfactory papers compared with other competitive approaches.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Hanwen& Kou, Huaizhen& Yan, Chao& Qi, Lianyong. 2020. Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph. Complexity،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1140000
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Hanwen…[et al.]. Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph. Complexity No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1140000
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Hanwen& Kou, Huaizhen& Yan, Chao& Qi, Lianyong. Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph. Complexity. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1140000
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1140000
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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