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Dynamic Topic/Citation Influence Modeling for Chronological Citation Recommendation

Published: 03 November 2014 Publication History
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  • Abstract

    With the development of academic research, the number of scientific papers has risen sharply, there is an urgent need to assist researchers in locating the candidate cited papers they are looking for. Classical relation-based and text-based approaches ignore the chronological nature of the citation recommendation task. In this study, we propose an innovative dynamic topic/citation influence model (DTCIM), which assumes user initial information need could shift while they are looking for the papers in different time slices. Specifically, we integrate text search and citation link navigation in a chronological dynamic topic model environment. Unlike previous studies, the new model characterizes user topical information need shifting and intrinsic citation time-decay. We apply this model for chronological citation recommendation, which can recommend time-series ranking lists based on users' initial textual information needs. Our experiment on the ACM sequential corpus shows that DTCIM is an effective model for chronological citation recommendation, comparing with classic models and algorithms.

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    Cited By

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    • (2024)Personalized global citation recommendation with diversification awarenessScientometrics10.1007/s11192-024-05057-5Online publication date: 3-Jun-2024
    • (2023)A Systematic Review of Citation Recommendation Over the Past Two DecadesInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.32407119:1(1-22)Online publication date: 1-Jun-2023
    • (2021)A New Citation Recommendation Strategy Based on Term Functions in Related Studies SectionJournal of Data and Information Science10.2478/jdis-2021-00226:3(75-98)Online publication date: 9-May-2021
    • Show More Cited By

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    1. Dynamic Topic/Citation Influence Modeling for Chronological Citation Recommendation

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      cover image ACM Conferences
      Web-KR '14: Proceedings of the 5th International Workshop on Web-scale Knowledge Representation Retrieval & Reasoning
      November 2014
      72 pages
      ISBN:9781450316064
      DOI:10.1145/2663792
      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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      New York, NY, United States

      Publication History

      Published: 03 November 2014

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      Author Tags

      1. chronological citation recommendation
      2. dynamic topic/citation influence model
      3. information need shifting

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      Overall Acceptance Rate 4 of 4 submissions, 100%

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      Cited By

      View all
      • (2024)Personalized global citation recommendation with diversification awarenessScientometrics10.1007/s11192-024-05057-5Online publication date: 3-Jun-2024
      • (2023)A Systematic Review of Citation Recommendation Over the Past Two DecadesInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.32407119:1(1-22)Online publication date: 1-Jun-2023
      • (2021)A New Citation Recommendation Strategy Based on Term Functions in Related Studies SectionJournal of Data and Information Science10.2478/jdis-2021-00226:3(75-98)Online publication date: 9-May-2021
      • (2021)Chronological citation recommendation with time preferenceScientometrics10.1007/s11192-021-03878-2Online publication date: 14-Feb-2021
      • (2020)A review of citation recommendation: from textual content to enriched contextScientometrics10.1007/s11192-019-03336-0Online publication date: 3-Jan-2020
      • (2020)Citation recommendation: approaches and datasetsInternational Journal on Digital Libraries10.1007/s00799-020-00288-2Online publication date: 11-Aug-2020
      • (2015)Chronological Scientific Information Recommendation via Supervised Dynamic Topic ModelingProceedings of the Eighth ACM International Conference on Web Search and Data Mining10.1145/2684822.2697036(453-458)Online publication date: 2-Feb-2015
      • (2014)Web-KR 2014Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management10.1145/2661829.2663545(2102-2103)Online publication date: 3-Nov-2014

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