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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
Bendersky, M., Croft, W.B.: Finding text reuse on the web. In: WSDM, pp. 262–271 (2009)
Bethard, S., Jurafsky, D.: Who should I cite: learning literature search models from citation behavior. In: CIKM, pp. 609–618 (2010)
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)
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)
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)
El-Arini, K., Guestrin, C.: Beyond keyword search: discovering relevant scientific literature. In: KDD, pp. 439–447 (2011)
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)
Gollub, T., Hagen, M., Michel, M., Stein, B.: From keywords to keyqueries: content descriptors for the web. In: SIGIR, pp. 981–984 (2013)
Golshan, B., Lappas, T., Terzi, E.: Sofia search: a tool for automating related-work search. In: SIGMOD, pp. 621–624 (2012)
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)
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)
He, Q., Kifer, D., Pei, J., Mitra, P., Giles, C.L.: Citation recommendation without author supervision. In: WSDM, pp. 755–764 (2011)
He, Q., Pei, J., Kifer, D., Mitra, P., Giles, C.L.: Context-aware citation recommendation. In: WWW, pp. 421–430 (2010)
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)
Järvelin, K., Kekäläinen, J.: Cumulated gain-based evaluation of IR techniques. ACM Trans. Inf. Syst. 20(4), 422–446 (2002)
Kataria, S., Mitra, P., Bhatia, S.: Utilizing context in generative Bayesian models for linked corpus. In: AAAI, pp. 1340–1345 (2010)
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)
Küçüktunç, O., Saule, E., Kaya, K., Catalyürek, Ü.V.: TheAdvisor: a webservice for academic recommendation. In: JCDL, pp. 433–434 (2013)
Livne, A., Gokuladas, V., Teevan, J., Dumais, S., Adar, E.: CiteSight: supporting contextual citation recommendation using differential search. In: SIGIR, pp. 807–816 (2014)
Lu, Y., He, J., Shan, D., Yan, H.: Recommending citations with translation model. In: CIKM, pp. 2017–2020 (2011)
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)
Nallapati, R., Ahmed, A., Xing, E.P., Cohen, W.W.: Joint latent topic models for text and citations. In: KDD, pp. 542–550 (2008)
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)
Pickens, J., Cooper, M., Golovchinsky, G.: Reverted indexing for feedback and expansion. In: CIKM, pp. 1049–1058 (2010)
Robertson, S.E., Zaragoza, H., Taylor, M.J.: Simple BM25 extension to multiple weighted fields. In: CIKM, pp. 42–49 (2004)
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)
Sugiyama, K., Kan, M.-Y.: Exploiting potential citation papers in scholarly paper recommendation. In: JCDL, pp. 153–162 (2013)
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)
Tang, X., Wan, X., Zhang, X.: Cross-language context-aware citation recommendation in scientific articles. In: SIGIR, pp. 817–826 (2014)
Wang, C., Blei, D.M.: Collaborative topic modeling for recommending scientific articles. In: KDD, pp. 448–456 (2011)
Yang, Y., Bansal, N., Dakka, W., Ipeirotis, P.G., Koudas, N., Papadias, D.: Query by document. In: WSDM, pp. 34–43 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights 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: Ferro, N., 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)