article

Technical paper recommendation: a study in combining multiple information sources

Authors:

William W. Cohen,

Craig Nevill-ManningAuthors Info & Claims

Journal of Artificial Intelligence Research, Volume 14, Issue 1

Pages 231 - 252

Published: 01 May 2001 Publication History

Abstract

The growing need to manage and exploit the proliferation of online data sources is opening up new opportunities for bringing people closer to the resources they need. For instance, consider a recommendation service through which researchers can receive daily pointers to journal papers in their fields of interest. We survey some of the known approaches to the problem of technical paper recommendation and ask how they can be extended to deal with multiple information sources. More specifically, we focus on a variant of this problem - recommending conference paper submissions to reviewing committee members - which offers us a testbed to try different approaches. Using WHIRL - an information integration system - we are able to implement different recommendation algorithms derived from information retrieval principles. We also use a novel autonomous procedure for gathering reviewer interest information from the Web. We evaluate our approach and compare it to other methods using preference data provided by members of the AAAI-98 conference reviewing committee along with data about the actual submissions.

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Cited By

Ma XZhang YZeng J(2019)Newly Published Scientific Papers Recommendation in Heterogeneous Information NetworksMobile Networks and Applications10.1007/s11036-018-1133-924:1(69-79)Online publication date: 15-Feb-2019
https://dl.acm.org/doi/10.1007/s11036-018-1133-9
Sun JJiang YCheng XDu WLiu YMa J(2018)A hybrid approach for article recommendation in research social networksJournal of Information Science10.1177/016555151772844944:5(696-711)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1177/0165551517728449
Choo JKim HClarkson ELiu ZLee CLi FLee HKannan RStolper CStasko JPark H(2018)VisIRRACM Transactions on Knowledge Discovery from Data10.1145/307061612:1(1-20)Online publication date: 31-Jan-2018
https://dl.acm.org/doi/10.1145/3070616
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cover image Journal of Artificial Intelligence Research

Journal of Artificial Intelligence Research Volume 14, Issue 1

January 2001

385 pages

ISSN:1076-9757

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AI Access Foundation

El Segundo, CA, United States

Publication History

Published: 01 May 2001

Received: 01 March 2000

Published in JAIR Volume 14, Issue 1

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Cited By

Ma XZhang YZeng J(2019)Newly Published Scientific Papers Recommendation in Heterogeneous Information NetworksMobile Networks and Applications10.1007/s11036-018-1133-924:1(69-79)Online publication date: 15-Feb-2019
https://dl.acm.org/doi/10.1007/s11036-018-1133-9
Sun JJiang YCheng XDu WLiu YMa J(2018)A hybrid approach for article recommendation in research social networksJournal of Information Science10.1177/016555151772844944:5(696-711)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1177/0165551517728449
Choo JKim HClarkson ELiu ZLee CLi FLee HKannan RStolper CStasko JPark H(2018)VisIRRACM Transactions on Knowledge Discovery from Data10.1145/307061612:1(1-20)Online publication date: 31-Jan-2018
https://dl.acm.org/doi/10.1145/3070616
Nguyen JSnchez-Hernndez GAgell NRovira XAngulo C(2018)A decision support tool using Order Weighted Averaging for conference review assignmentPattern Recognition Letters10.1016/j.patrec.2017.09.020105:C(114-120)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1016/j.patrec.2017.09.020
Kazemi BAbhari AAbhari A(2017)A comparative study on content-based paper-to-paper recommendation approaches in scientific literatureProceedings of the 20th Communications & Networking Symposium10.5555/3107979.3107984(1-10)Online publication date: 23-Apr-2017
https://dl.acm.org/doi/10.5555/3107979.3107984
Beltran JHuang ZAbouzied ANandi APapadopoulos GKuflik TChen FDuarte CFu W(2017)Don't Just Swipe Left, Tell Me WhyProceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3025171.3025212(469-480)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3025171.3025212
Alotaibi SVassileva JVassileva JBlustein JAroyo LD'Mello S(2016)Effect of Different Implicit Social Networks on Recommending Research PapersProceedings of the 2016 Conference on User Modeling Adaptation and Personalization10.1145/2930238.2930293(217-221)Online publication date: 13-Jul-2016
https://dl.acm.org/doi/10.1145/2930238.2930293
Totti LMitra POuzzani MZaki MBourdeau JHendler JNkambou RHorrocks IZhao B(2016)A Query-oriented Approach for Relevance in Citation NetworksProceedings of the 25th International Conference Companion on World Wide Web10.1145/2872518.2890518(401-406)Online publication date: 11-Apr-2016
https://dl.acm.org/doi/10.1145/2872518.2890518
Protasiewicz JPedrycz WKozłowski MDadas SStanisławek TKopacz AGałźźewska M(2016)A recommender system of reviewers and experts in reviewing problemsKnowledge-Based Systems10.1016/j.knosys.2016.05.041106:C(164-178)Online publication date: 15-Aug-2016
https://dl.acm.org/doi/10.1016/j.knosys.2016.05.041
Zhao WWu RLiu H(2016)Paper recommendation based on the knowledge gap between a researcher's background knowledge and research targetInformation Processing and Management: an International Journal10.1016/j.ipm.2016.04.00452:5(976-988)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1016/j.ipm.2016.04.004
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