Skip to main content
Book cover

European Conference on Information Retrieval

ECIR 2016: Advances in Information Retrieval pp 507–520Cite as

Supporting Scholarly Search with Keyqueries

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 9626)

Abstract

We deal with a problem faced by scholars every day: identifying relevant papers on a given topic. In particular, we focus on the scenario where a scholar can come up with a few papers (e.g., suggested by a colleague) and then wants to find “all” the other related publications. Our proposed approach to the problem is based on the concept of keyqueries: formulating keyqueries from the input papers and suggesting the top results as candidates of related work.

We compare our approach to three baselines that also represent the different ways of how humans search for related work: (1) a citation-graph-based approach focusing on cited and citing papers, (2) a method formulating queries from the paper abstracts, and (3) the “related articles”-functionality of Google Scholar. The effectiveness is measured in a Cranfield-style user study on a corpus of 200,000 papers. The results indicate that our novel keyquery-based approach is on a par with the strong citation and Google Scholar baselines but with substantially different results—a combination of the different approaches yields the best results.

Keywords

  • Retrieval Model
  • Collaborative Filter
  • Keyword Query
  • Relevance Judgment
  • Query Formulation

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (Canada)
  • DOI: 10.1007/978-3-319-30671-1_37
  • Chapter length: 14 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   109.00
Price excludes VAT (Canada)
  • ISBN: 978-3-319-30671-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   149.99
Price excludes VAT (Canada)
Learn about institutional subscriptions

References

  1. Beel, J., Langer, S., Genzmehr, M., Gipp, B., Breitinger, C., Nürnberger, A.: Research paper recommender system evaluation: a quantitative literature survey. In: RepSys Workshop, pp. 15–22 (2013)

    Google Scholar 

  2. Bendersky, M., Croft, W.B.: Finding text reuse on the web. In: WSDM, pp. 262–271 (2009)

    Google Scholar 

  3. Bethard, S., Jurafsky, D.: Who should I cite: learning literature search models from citation behavior. In: CIKM, pp. 609–618 (2010)

    Google Scholar 

  4. Caragea, C., Silvescu, A., Mitra, P., Giles, C.L.: Can’t see the forest for the trees? a citation recommendation system. In: JCDL, pp. 111–114 (2013)

    Google Scholar 

  5. Dasdan, A., D’Alberto, P., Kolay, S., Drome, C.: Automatic retrieval of similar content using search engine query interface. In: CIKM, pp. 701–710 (2009)

    Google Scholar 

  6. Ekstrand, M.D., Kannan, P., Stemper, J.A., Butler, J.T., Konstan, J.A., Riedl, J.: Automatically building research reading lists. In: RecSys, pp. 159–166 (2010)

    Google Scholar 

  7. El-Arini, K., Guestrin, C.: Beyond keyword search: discovering relevant scientific literature. In: KDD, pp. 439–447 (2011)

    Google Scholar 

  8. El-Beltagy, S.R., Rafea, A.A.: KP-Miner: a keyphrase extraction system for English and Arabic documents. Inf. Syst. 34(1), 132–144 (2009)

    CrossRef  Google Scholar 

  9. Gollub, T., Hagen, M., Michel, M., Stein, B.: From keywords to keyqueries: content descriptors for the web. In: SIGIR, pp. 981–984 (2013)

    Google Scholar 

  10. Golshan, B., Lappas, T., Terzi, E.: Sofia search: a tool for automating related-work search. In: SIGMOD, pp. 621–624 (2012)

    Google Scholar 

  11. Hagen, M., Glimm, C.: Supporting more-like-this information needs: finding similar web content in different scenarios. In: Kanoulas, E., Lupu, M., Clough, P., Sanderson, M., Hall, M., Hanbury, A., Toms, E. (eds.) CLEF 2014. LNCS, vol. 8685, pp. 50–61. Springer, Heidelberg (2014)

    Google Scholar 

  12. Hagen, M., Stein, B.: Candidate document retrieval for web-scale text reuse detection. In: Grossi, R., Sebastiani, F., Silvestri, F. (eds.) SPIRE 2011. LNCS, vol. 7024, pp. 356–367. Springer, Heidelberg (2011)

    CrossRef  Google Scholar 

  13. He, Q., Kifer, D., Pei, J., Mitra, P., Giles, C.L.: Citation recommendation without author supervision. In: WSDM, pp. 755–764 (2011)

    Google Scholar 

  14. He, Q., Pei, J., Kifer, D., Mitra, P., Giles, C.L.: Context-aware citation recommendation. In: WWW, pp. 421–430 (2010)

    Google Scholar 

  15. Huang, W., Kataria, S., Caragea, C., Mitra, P., Giles, C.L., Rokach, L.: Recommending citations: translating papers into references. In: CIKM, pp. 1910–1914 (2012)

    Google Scholar 

  16. Järvelin, K., Kekäläinen, J.: Cumulated gain-based evaluation of IR techniques. ACM Trans. Inf. Syst. 20(4), 422–446 (2002)

    CrossRef  Google Scholar 

  17. Kataria, S., Mitra, P., Bhatia, S.: Utilizing context in generative Bayesian models for linked corpus. In: AAAI, pp. 1340–1345 (2010)

    Google Scholar 

  18. Kim, S.N., Medelyan, O., Kan, M.-Y., Baldwin, T.: SemEval-2010 task 5: automatic keyphrase extraction from scientific articles. In: SemEval 2010, pp. 21–26 (2010)

    Google Scholar 

  19. Küçüktunç, O., Saule, E., Kaya, K., Catalyürek, Ü.V.: TheAdvisor: a webservice for academic recommendation. In: JCDL, pp. 433–434 (2013)

    Google Scholar 

  20. Livne, A., Gokuladas, V., Teevan, J., Dumais, S., Adar, E.: CiteSight: supporting contextual citation recommendation using differential search. In: SIGIR, pp. 807–816 (2014)

    Google Scholar 

  21. Lu, Y., He, J., Shan, D., Yan, H.: Recommending citations with translation model. In: CIKM, pp. 2017–2020 (2011)

    Google Scholar 

  22. Lykke, M., Larsen, B., Lund, H., Ingwersen, P.: Developing a test collection for the evaluation of integrated search. In: Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K. (eds.) ECIR 2010. LNCS, vol. 5993, pp. 627–630. Springer, Heidelberg (2010)

    CrossRef  Google Scholar 

  23. Nallapati, R., Ahmed, A., Xing, E.P., Cohen, W.W.: Joint latent topic models for text and citations. In: KDD, pp. 542–550 (2008)

    Google Scholar 

  24. Nascimento, C., Laender, A.H.F., Soares da Silva, A., Gonçalves, M.A.: A source independent framework for research paper recommendation. In: JCDL, pp. 297–306 (2011)

    Google Scholar 

  25. Pickens, J., Cooper, M., Golovchinsky, G.: Reverted indexing for feedback and expansion. In: CIKM, pp. 1049–1058 (2010)

    Google Scholar 

  26. Robertson, S.E., Zaragoza, H., Taylor, M.J.: Simple BM25 extension to multiple weighted fields. In: CIKM, pp. 42–49 (2004)

    Google Scholar 

  27. Stein, B., Hagen, M.: Introducing the user-over-ranking hypothesis. In: Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W., Lee, H., Mudoch, V. (eds.) ECIR 2011. LNCS, vol. 6611, pp. 503–509. Springer, Heidelberg (2011)

    CrossRef  Google Scholar 

  28. Sugiyama, K., Kan, M.-Y.: Exploiting potential citation papers in scholarly paper recommendation. In: JCDL, pp. 153–162 (2013)

    Google Scholar 

  29. Tang, J., Zhang, J.: A discriminative approach to topic-based citation recommendation. In: Theeramunkong, T., Kijsirikul, B., Cercone, N., Ho, T.-B. (eds.) PAKDD 2009. LNCS, vol. 5476, pp. 572–579. Springer, Heidelberg (2009)

    CrossRef  Google Scholar 

  30. Tang, X., Wan, X., Zhang, X.: Cross-language context-aware citation recommendation in scientific articles. In: SIGIR, pp. 817–826 (2014)

    Google Scholar 

  31. Wang, C., Blei, D.M.: Collaborative topic modeling for recommending scientific articles. In: KDD, pp. 448–456 (2011)

    Google Scholar 

  32. Yang, Y., Bansal, N., Dakka, W., Ipeirotis, P.G., Koudas, N., Papadias, D.: Query by document. In: WSDM, pp. 34–43 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Bauhaus-Universität Weimar, Weimar, Germany

    Matthias Hagen, Anna Beyer, Tim Gollub, Kristof Komlossy & Benno Stein

Authors
  1. Matthias Hagen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anna Beyer
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Tim Gollub
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Kristof Komlossy
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Benno Stein
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Matthias Hagen .

Editor information

Editors and Affiliations

  1. Department of Information Engineering, University of Padua, Padova, Italy

    Nicola Ferro

  2. Faculty of Informatics, University of Lugano (USI), Lugano, Switzerland

    Fabio Crestani

  3. Department of Computer Science, Katholieke Universiteit Leuven, Heverlee, Belgium

    Marie-Francine Moens

  4. Systèmes d’informations, Big Data et Recherche d’Information, Institut de Recherche en Informatique de Toulouse IRIT/équipe SIG, Toulouse Cedex 04, France

    Josiane Mothe

  5. Yahoo! Labs London, London, UK

    Fabrizio Silvestri

  6. Department of Information Engineering, University of Padua, Padova, Italy

    Giorgio Maria Di Nunzio

  7. TU Delft - EWI/ST/WIS, Delft, The Netherlands

    Claudia Hauff

  8. Department of Information Engineering, University of Padua, Padova, Italy

    Gianmaria Silvello

Rights and permissions

Reprints and Permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Hagen, M., Beyer, A., Gollub, T., Komlossy, K., Stein, B. (2016). Supporting Scholarly Search with Keyqueries. In: , et al. Advances in Information Retrieval. ECIR 2016. Lecture Notes in Computer Science(), vol 9626. Springer, Cham. https://doi.org/10.1007/978-3-319-30671-1_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-30671-1_37

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30670-4

  • Online ISBN: 978-3-319-30671-1

  • eBook Packages: Computer ScienceComputer Science (R0)