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A unified graph model for personalized query-oriented reference paper recommendation

Authors:

Fanqi Meng,

Dehong Gao,

Wenjie Li,

Xu Sun,

Yuexian HouAuthors Info & Claims

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

Pages 1509 - 1512

https://doi.org/10.1145/2505515.2507831

Published: 27 October 2013 Publication History

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Abstract

With the tremendous amount of research publications, it has become increasingly important to provide a researcher with a rapid and accurate recommendation of a list of reference papers about a research field or topic. In this paper, we propose a unified graph model that can easily incorporate various types of useful information (e.g., content, authorship, citation and collaboration networks etc.) for efficient recommendation. The proposed model not only allows to thoroughly explore how these types of information can be better combined, but also makes personalized query-oriented reference paper recommendation possible, which as far as we know is a new issue that has not been explicitly addressed in the past. The experiments have demonstrated the clear advantages of personalized recommendation over non-personalized recommendation.

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Cited By

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Zhang XSong SXiong Y(2024)Personalized global citation recommendation with diversification awarenessScientometrics10.1007/s11192-024-05057-5129:7(3625-3657)Online publication date: 3-Jun-2024
https://doi.org/10.1007/s11192-024-05057-5
Huang ZTang DZhao RRao W(2024)A scientific paper recommendation method using the time decay heterogeneous graphScientometrics10.1007/s11192-024-04933-4129:3(1589-1613)Online publication date: 23-Jan-2024
https://doi.org/10.1007/s11192-024-04933-4
V A NJancy S(2023)Dual Cloud Bibliographic Network Model for Citation Recommendation Systems2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS)10.1109/AICERA/ICIS59538.2023.10420406(1-6)Online publication date: 16-Nov-2023
https://doi.org/10.1109/AICERA/ICIS59538.2023.10420406
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Index Terms

A unified graph model for personalized query-oriented reference paper recommendation
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking
    2. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction

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Information & Contributors

Information

Published In

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

October 2013

2612 pages

ISBN:9781450322638

DOI:10.1145/2505515

General Chairs:
Qi He
LinkedIn, USA
,
Arun Iyengar
IBM T.J. Watson Research Center, USA
,
Program Chairs:
Wolfgang Nejdl
L3S Research Center, Germany
,
Jian Pei
Simon Fraser University, Canada
,
Rajeev Rastogi
Amazon, India

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2013

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CIKM'13

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CIKM'13: 22nd ACM International Conference on Information and Knowledge Management

October 27 - November 1, 2013

California, San Francisco, USA

Acceptance Rates

CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

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Zhang XSong SXiong Y(2024)Personalized global citation recommendation with diversification awarenessScientometrics10.1007/s11192-024-05057-5129:7(3625-3657)Online publication date: 3-Jun-2024
https://doi.org/10.1007/s11192-024-05057-5
Huang ZTang DZhao RRao W(2024)A scientific paper recommendation method using the time decay heterogeneous graphScientometrics10.1007/s11192-024-04933-4129:3(1589-1613)Online publication date: 23-Jan-2024
https://doi.org/10.1007/s11192-024-04933-4
V A NJancy S(2023)Dual Cloud Bibliographic Network Model for Citation Recommendation Systems2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS)10.1109/AICERA/ICIS59538.2023.10420406(1-6)Online publication date: 16-Nov-2023
https://doi.org/10.1109/AICERA/ICIS59538.2023.10420406
Iqbal AShahid ARoman MAfzal MYahya M(2023)Exploiting Contextual Word Embedding for Identification of Important Citations: Incorporating Section-Wise Citation Counts and Metadata FeaturesIEEE Access10.1109/ACCESS.2023.332003811(114044-114060)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3320038
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
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
Wang WTang TXia FGong ZChen ZLiu H(2022)Collaborative Filtering With Network Representation Learning for Citation RecommendationIEEE Transactions on Big Data10.1109/TBDATA.2020.30349768:5(1233-1246)Online publication date: 1-Oct-2022
https://doi.org/10.1109/TBDATA.2020.3034976
Roostaee M(2022)Citation Worthiness Identification for Fine-Grained Citation Recommendation SystemsIranian Journal of Science and Technology, Transactions of Electrical Engineering10.1007/s40998-021-00472-346:2(353-365)Online publication date: 23-Jan-2022
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Lang CWang ZHe KSun S(2022)POI recommendation based on a multiple bipartite graph network modelThe Journal of Supercomputing10.1007/s11227-021-04279-178:7(9782-9816)Online publication date: 19-Jan-2022
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Pornprasit CLiu XKiattipadungkul PKertkeidkachorn NKim KNoraset THassan STuarob S(2022)Enhancing citation recommendation using citation network embeddingScientometrics10.1007/s11192-021-04196-3Online publication date: 11-Jan-2022
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