research-article

A graph based approach to scientific paper recommendation

Authors:

Gabriella PasiAuthors Info & Claims

WI '17: Proceedings of the International Conference on Web Intelligence

Pages 777 - 782

https://doi.org/10.1145/3106426.3106479

Published: 23 August 2017 Publication History

Abstract

When looking for recently published scientific papers, a researcher usually focuses on the topics related to her/his scientific interests. The task of a recommender system is to provide a list of unseen papers that match these topics. The core idea of this paper is to leverage the latent topics of interest in the publications of the researchers, and to take advantage of the social structure of the researchers (relations among researchers in the same field) as reliable sources of knowledge to improve the recommendation effectiveness. In particular, we introduce a hybrid approach to the task of scientific papers recommendation, which combines content analysis based on probabilistic topic modeling and ideas from collaborative filtering based on a relevance-based language model. We conducted an experimental study on DBLP, which demonstrates that our approach is promising.

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Cited By

CHERRADI M(2024)Data lake management using topic modeling techniquesData and Metadata10.56294/dm20242823(282)Online publication date: 15-Apr-2024
https://doi.org/10.56294/dm2024282
Liu JChen CLee CHuang S(2024)Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation SystemACM Transactions on Intelligent Systems and Technology10.1145/363527315:2(1-26)Online publication date: 13-Jan-2024
https://dl.acm.org/doi/10.1145/3635273
Wang GZhou LGong JZhang X(2024)Heterogeneous graph neural network with hierarchical attention for group-aware paper recommendation in scientific social networksApplied Soft Computing10.1016/j.asoc.2024.112448167(112448)Online publication date: Dec-2024
https://doi.org/10.1016/j.asoc.2024.112448
Show More Cited By

Index Terms

A graph based approach to scientific paper recommendation
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems

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Published In

cover image ACM Conferences

WI '17: Proceedings of the International Conference on Web Intelligence

August 2017

1284 pages

ISBN:9781450349512

DOI:10.1145/3106426

Conference Chair:
Amit Sheth
Wright State University GuoROLE@GENERAL CHAIR
,
General Chairs:
Axel Ngonga
Leipzig University, Germany
,
yin Wang
Chongqing University of Posts and Telecommunications, China
,
Elizabeth Chang
The University of New South Wales, Australia
,
Dominik Ślęzak
Infobright Inc. & University of Warsaw, Poland
,
Bogdan Franczyk
Leipzig University, Germany
,
Program Chairs:
Rainer Alt
Leipzig University, Germany
,
Xiaohui Tao
University of Southern Queensland, Australia

Copyright © 2017 ACM.

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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SIGAI: ACM Special Interest Group on Artificial Intelligence
TCII: IEEE Computer Society Technical Committee on Intelligent Informatics
Web Intelligence Consortium

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 August 2017

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European Union

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WI '17

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SIGAI
TCII

WI '17: International Conference on Web Intelligence 2017

August 23 - 26, 2017

Leipzig, Germany

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WI '17 Paper Acceptance Rate 118 of 178 submissions, 66%;

Overall Acceptance Rate 118 of 178 submissions, 66%

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Cited By

CHERRADI M(2024)Data lake management using topic modeling techniquesData and Metadata10.56294/dm20242823(282)Online publication date: 15-Apr-2024
https://doi.org/10.56294/dm2024282
Liu JChen CLee CHuang S(2024)Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation SystemACM Transactions on Intelligent Systems and Technology10.1145/363527315:2(1-26)Online publication date: 13-Jan-2024
https://dl.acm.org/doi/10.1145/3635273
Wang GZhou LGong JZhang X(2024)Heterogeneous graph neural network with hierarchical attention for group-aware paper recommendation in scientific social networksApplied Soft Computing10.1016/j.asoc.2024.112448167(112448)Online publication date: Dec-2024
https://doi.org/10.1016/j.asoc.2024.112448
Singh DDeepak G(2023)HybRDFSciRec: Hybridized Scientific Document Recommendation FrameworkInnovations in Bio-Inspired Computing and Applications10.1007/978-3-031-27499-2_41(439-447)Online publication date: 28-Mar-2023
https://doi.org/10.1007/978-3-031-27499-2_41
Turki HHadj Taieb MBen Aouicha M(2023)Recommender System for Scholarly Articles to Monitor COVID-19 Trends in Social Media Based on Low-Cost Topic ModelingHybrid Intelligent Systems10.1007/978-3-031-27409-1_22(249-259)Online publication date: 25-May-2023
https://doi.org/10.1007/978-3-031-27409-1_22
Pham PLe HTam NTran Q(2022)A Graph-Based Topic Modeling Approach to Detection of Irrelevant CitationsVietnam Journal of Computer Science10.1142/S219688882250033610:02(197-216)Online publication date: 5-Oct-2022
https://doi.org/10.1142/S2196888822500336
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: 5-Oct-2022
https://doi.org/10.1007/s00799-022-00339-w
Shapovalov YShapovalov VTarasenko RUsenko SPaschke A(2021)A semantic structuring of educational research using ontologiesCTE Workshop Proceedings10.55056/cte.2198(105-123)Online publication date: 19-Mar-2021
https://doi.org/10.55056/cte.219
Boussaadi SAliane HAbdeldjalil OHouari DDjoumagh M(2020)Recommender systems based on detection community in academic social network2020 International Multi-Conference on: “Organization of Knowledge and Advanced Technologies” (OCTA)10.1109/OCTA49274.2020.9151729(1-7)Online publication date: Feb-2020
https://doi.org/10.1109/OCTA49274.2020.9151729
Boussaadi SAliane DAbdeldjalil P(2020)The Researchers Profile with Topic Modeling2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS)10.1109/ICECOCS50124.2020.9314588(1-6)Online publication date: 2-Dec-2020
https://doi.org/10.1109/ICECOCS50124.2020.9314588
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