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Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph
Joint Authors
Liu, Hanwen
Kou, Huaizhen
Yan, Chao
Qi, Lianyong
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-24
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140000