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research-article

Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph

Authors:

Lianyong Qi Academic Editor:

Xiaopeng ZhaoAuthors Info & Claims

Complexity, Volume 2020

https://doi.org/10.1155/2020/2085638

Published: 01 January 2020 Publication History

Abstract

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 PR_keyword+pop. At last, we conduct large-scale experiments on the real-life Hep-Th dataset to further demonstrate the usefulness and feasibility of PR_keyword+pop. Experimental results prove the advantages of PR_keyword+pop in searching for a set of satisfactory papers compared with other competitive approaches.

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Cited By

Jeon HJung J(2023)Discovering the role model of authors by embedding research historyJournal of Information Science10.1177/0165551521103440749:4(990-1006)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1177/01655515211034407
Sharma RGopalani DMeena Y(2023)An anatomization of research paper recommender systemEngineering Applications of Artificial Intelligence10.1016/j.engappai.2022.105641118:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.engappai.2022.105641
Liu HWang SRen HMeng SHou JLi Q(2022)Keywords-Driven Paper Recommendation Based on Mobile Edge Computing Environment FrameworkScientific Programming10.1155/2022/39434192022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3943419
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Index Terms

Keywords-Driven and Popularity-Aware Paper Recommendation Based on Undirected Paper Citation Graph
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction
  2. Information systems applications
    1. Data mining

Index terms have been assigned to the content through auto-classification.

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Information & Contributors

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Published In

cover image Complexity

Complexity Volume 2020, Issue

2020

17147 pages

ISSN:1076-2787

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Copyright © 2020 Hanwen Liu et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Publisher

John Wiley & Sons, Inc.

United States

Publication History

Published: 01 January 2020

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Cited By

Jeon HJung J(2023)Discovering the role model of authors by embedding research historyJournal of Information Science10.1177/0165551521103440749:4(990-1006)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1177/01655515211034407
Sharma RGopalani DMeena Y(2023)An anatomization of research paper recommender systemEngineering Applications of Artificial Intelligence10.1016/j.engappai.2022.105641118:COnline publication date: 1-Feb-2023
https://dl.acm.org/doi/10.1016/j.engappai.2022.105641
Liu HWang SRen HMeng SHou JLi Q(2022)Keywords-Driven Paper Recommendation Based on Mobile Edge Computing Environment FrameworkScientific Programming10.1155/2022/39434192022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/3943419
Nguyen DHuynh SDinh CHuynh PNguyen B(2022)PSRMTEExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.117096202:COnline publication date: 15-Sep-2022
https://dl.acm.org/doi/10.1016/j.eswa.2022.117096
Gündoğan EKaya M(2022)A novel hybrid paper recommendation system using deep learningScientometrics10.1007/s11192-022-04420-8127:7(3837-3855)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1007/s11192-022-04420-8
Kreutz CSchenkel R(2022)Scientific paper recommendation systems: a literature review of recent publicationsInternational Journal on Digital Libraries10.1007/s00799-022-00339-w23:4(335-369)Online publication date: 1-Dec-2022
https://dl.acm.org/doi/10.1007/s00799-022-00339-w
Wang JZhang GWang WZhang KSheng Y(2021)Cloud-based intelligent self-diagnosis and department recommendation service using Chinese medical BERTJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-020-00218-210:1Online publication date: 15-Jan-2021
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Deng LYang PLiu WWang LWang SZhang X(2021)NAAM-MOEA/D-Based Multitarget Firepower Resource Allocation Optimization in Edge ComputingWireless Communications & Mobile Computing10.1155/2021/55798572021Online publication date: 1-Jan-2021
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Chaudhuri ASinhababu NSarma MSamanta D(2021)Hidden features identification for designing an efficient research article recommendation systemInternational Journal on Digital Libraries10.1007/s00799-021-00301-222:2(233-249)Online publication date: 1-Jun-2021
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Li DWang CWang QYan TBing WWang J(2020)Grazing trajectory statistics and visualization platform based on cloud GISJournal of Cloud Computing: Advances, Systems and Applications10.1186/s13677-020-00184-99:1Online publication date: 23-Oct-2020
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