demonstration

Introducing Docear's research paper recommender system

Authors:

Joeran Beel,

Stefan Langer,

Marcel Genzmehr,

Andreas NürnbergerAuthors Info & Claims

JCDL '13: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries

Pages 459 - 460

https://doi.org/10.1145/2467696.2467786

Published: 22 July 2013 Publication History

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Abstract

In this demo paper we present Docear's research paper recommender system. Docear is an academic literature suite to search, organize, and create research articles. The users' data (papers, references, annotations, etc.) is managed in mind maps and these mind maps are utilized for the recommendations. Using content-based filtering methods, Docear's recommender achieves click-through rates around 6%, in some scenarios even over 10%.

References

[1]

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[2]

Beel, J., Gipp, B., Langer, S. and Genzmehr, M. 2011. Docear: An Academic Literature Suite for Searching, Organizing and Creating Academic Literature. Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries (2011), 465--466.

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Bogers, T. and Bosch, A. van den 2008. Recommending scientific articles using citeulike. Proceedings of the 2008 ACM conference on Recommender systems (2008), 287--290.

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Pohl, S., Radlinski, F. and Joachims, T. 2007. Recommending Related Papers Based on Digital Library Access Records. Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries (Vancouver, BC, Canada, 2007), 417--418.

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Cited By

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Venkatesan VRamakrishna MBatyuk ABarna AHavrysh B(2023)High-Performance Artificial Intelligence Recommendation of Quality Research Papers Using Effective Collaborative ApproachSystems10.3390/systems1102008111:2(81)Online publication date: 4-Feb-2023
https://doi.org/10.3390/systems11020081
Guesmi MChatti MKadhim LJoarder SAin Q(2023)Semantic Interest Modeling and Content-Based Scientific Publication Recommendation Using Word Embeddings and Sentence EncodersMultimodal Technologies and Interaction10.3390/mti70900917:9(91)Online publication date: 15-Sep-2023
https://doi.org/10.3390/mti7090091
Leung C(2023)Discovery of Patent Influence with Directed Acyclic Graph Network AnalysisProceedings of the 27th International Database Engineered Applications Symposium10.1145/3589462.3589483(17-24)Online publication date: 5-May-2023
https://dl.acm.org/doi/10.1145/3589462.3589483
Show More Cited By

Index Terms

Introducing Docear's research paper recommender system
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Information & Contributors

Information

Published In

JCDL '13: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries

July 2013

480 pages

ISBN:9781450320771

DOI:10.1145/2467696

General Chairs:
J. Stephen Downie
University of Illinois at Urbana-Champaign, USA
,
Robert H. McDonald
Indiana University Bloomington, USA
,
Program Chairs:
Timothy W. Cole
University of Illinois at Urbana-Champaign, USA
,
Robert Sanderson
Los Alamos National Laboratory, USA
,
Frank Shipman
Texas A&M University, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 July 2013

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Demonstration

Conference

JCDL '13

Sponsor:

JCDL '13: 13th ACM/IEEE-CS Joint Conference on Digital Libraries

July 22 - 26, 2013

Indiana, Indianapolis, USA

Acceptance Rates

JCDL '13 Paper Acceptance Rate 28 of 95 submissions, 29%;

Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Citations

Cited By

View all

Venkatesan VRamakrishna MBatyuk ABarna AHavrysh B(2023)High-Performance Artificial Intelligence Recommendation of Quality Research Papers Using Effective Collaborative ApproachSystems10.3390/systems1102008111:2(81)Online publication date: 4-Feb-2023
https://doi.org/10.3390/systems11020081
Guesmi MChatti MKadhim LJoarder SAin Q(2023)Semantic Interest Modeling and Content-Based Scientific Publication Recommendation Using Word Embeddings and Sentence EncodersMultimodal Technologies and Interaction10.3390/mti70900917:9(91)Online publication date: 15-Sep-2023
https://doi.org/10.3390/mti7090091
Leung C(2023)Discovery of Patent Influence with Directed Acyclic Graph Network AnalysisProceedings of the 27th International Database Engineered Applications Symposium10.1145/3589462.3589483(17-24)Online publication date: 5-May-2023
https://dl.acm.org/doi/10.1145/3589462.3589483
Zhang ZPatra BYaseen AZhu JSabharwal RRoberts KCao TWu H(2023)Scholarly recommendation systems: a literature surveyKnowledge and Information Systems10.1007/s10115-023-01901-x65:11(4433-4478)Online publication date: 4-Jun-2023
https://doi.org/10.1007/s10115-023-01901-x
Kapur RSodhi B(2022)OSS Effort Estimation Using Software Features Similarity and Developer Activity-Based MetricsACM Transactions on Software Engineering and Methodology10.1145/348581931:2(1-35)Online publication date: 4-Mar-2022
https://dl.acm.org/doi/10.1145/3485819
Kannojiya ARajput AShanu A(2022)Classification Methods for Labelled Data in Machine LearningAdvances in Mechanical and Energy Technology10.1007/978-981-19-1618-2_10(99-107)Online publication date: 21-Jun-2022
https://doi.org/10.1007/978-981-19-1618-2_10
Kątek GGackowska MHarwtig KMarciniak A(2022)Comparison and Evaluation of Models for Predicting Immunogenicity of Viral Antigens of the pMHC Complex from Murine ModelsInnovations in Biomedical Engineering10.1007/978-3-030-99112-8_28(279-290)Online publication date: 1-Jun-2022
https://doi.org/10.1007/978-3-030-99112-8_28
Alli M(2021)Enhancing Academic Recommendation Regarding Common Coauthors' Publication RecordsResult Page Generation for Web Searching10.4018/978-1-7998-0961-6.ch006(70-87)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-0961-6.ch006
Aymen AImène S(2021)Scientific Paper Recommender Systems: A ReviewArtificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities10.1007/978-3-030-92038-8_92(896-906)Online publication date: 25-Nov-2021
https://doi.org/10.1007/978-3-030-92038-8_92
Ma SZhang CLiu X(2020)A review of citation recommendation: from textual content to enriched contextScientometrics10.1007/s11192-019-03336-0Online publication date: 3-Jan-2020
https://doi.org/10.1007/s11192-019-03336-0
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A Scalable, Accurate Hybrid Recommender System

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