Skip to main content
SpringerLink
Log in

The Snippets Taxonomy in Web Search Engines

  • Conference paper
  • First Online:
Perspectives in Business Informatics Research (BIR 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 365))

Included in the following conference series:

Abstract

In this paper authors analyzed 50 000 keywords results collected from localized Polish Google search engine. We proposed a taxonomy for snippets displayed in search results as regular, rich, news, featured and entity types snippets. We observed some correlations between overlapping snippets in the same keywords. Results show that commercial keywords do not cause results having rich or entity types snippets, whereas keywords resulting with snippets are not commercial nature. We found that significant number of snippets are scholarly articles and rich cards carousel. We conclude our findings with conclusion and research limitations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lewandowski, D.: The retrieval effectiveness of web search engines: considering results descriptions. J. Doc. 64, 915–937 (2008). https://doi.org/10.1108/00220410810912451

    Article  Google Scholar 

  2. Sachse, J.: The influence of snippet length on user behavior in mobile web search: an experimental eye-tracking study. Aslib J. Inf. Manag. (2019). https://doi.org/10.1108/AJIM-07-2018-0182

    Article  Google Scholar 

  3. Kim, J., Thomas, P., Sankaranarayana, R., Gedeon, T., Yoon, H.-J.: What snippet size is needed in mobile web search? In: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval - CHIIR 2017, pp. 97–106. ACM, New York (2017). https://doi.org/10.1145/3020165.3020173

  4. Elsweiler, D., Kattenbeck, M.: Understanding credibility judgements for web search snippets. Aslib J. Inf. Manag. (2019). https://doi.org/10.1108/AJIM-07-2018-0181

    Article  Google Scholar 

  5. Bilal, D., Huang, L.-M.: Readability and word complexity of SERPs snippets and web pages on children’s search queries. Aslib J. Inf. Manag. 71, 241–259 (2019). https://doi.org/10.1108/AJIM-05-2018-0124

    Article  Google Scholar 

  6. Hop, W., Lachner, S., Frasincar, F., De Virgilio, R.: Automatic web page annotation with Google Rich Snippets. In: Meersman, R., Dillon, T., Herrero, P. (eds.) OTM 2010. LNCS, vol. 6427, pp. 957–974. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16949-6_21

    Chapter  Google Scholar 

  7. Steiner, T., Hausenblas, M., Troncy, R.: How Google is using linked data today and vision for tomorrow. In: Auer, S., Decker, S., Hauswirth, M. (eds.) Proceedings of Linked Data in the Future Internet at the Future Internet Assembly (FIA 2010), Ghent, pp. 1–10 (2010)

    Google Scholar 

  8. Khalili, A., Auer, S.: WYSIWYM authoring of structured content based on Schema.org. In: Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G. (eds.) WISE 2013. LNCS, vol. 8181, pp. 425–438. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-41154-0_32

    Chapter  Google Scholar 

  9. Marcos, M.-C., Gavin, F., Arapakis, I.: Effect of snippets on user experience in web search. In: Proceedings of the XVI International Conference on Human Computer Interaction - Interacción 2015, pp. 47:1–47:8. ACM, New York (2015). https://doi.org/10.1145/2829875.2829916

  10. Das, A.S., Datar, M., Garg, A., Rajaram, S.: Google news personalization: scalable online collaborative filtering. In: Proceedings of the 16th International Conference on World Wide Web - WWW 2007, pp. 271–280. ACM, New York (2007). https://doi.org/10.1145/1242572.1242610

  11. Calzada, J., Gil, R.: What do news aggregators do? Evidence from Google News in Spain and Germany. Universitat de Barcelona, Barcelona (2016). https://doi.org/10.2139/ssrn.2837553

  12. Potthast, M., Chen, W., Hagen, M.: A plan for ancillary copyright: original snippets. In: Albakour, D., Corney, D., Gonzalo, J., Martinez, M., Poblete, B., Vlachos, A. (eds.) Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval at ECIR, Grenoble, France, pp. 3–5 (2018)

    Google Scholar 

  13. Miklosik, A.: Search engine marketing strategies: Google answer box-related search visibility factors. In: Carvalho, L., Isaías, P. (eds.) Handbook of Research on Entrepreneurship and Marketing for Global Reach in the Digital Economy, pp. 463–485. IGI Global, Hershey (2019). https://doi.org/10.4018/978-1-5225-6307-5.ch020

    Chapter  Google Scholar 

  14. Zhao, Y., Zhang, J., Xia, X., Le, T.: Evaluation of Google question-answering quality. Libr. Hi Tech. (2018). https://doi.org/10.1108/LHT-10-2017-0218

    Article  Google Scholar 

  15. Hancock, B., Lee, H., Yu, C.: Generating titles for web tables. In: Proceedings of the 2019 World Wide Web Conference, WWW 2019, pp. 638–647. ACM, New York (2019). https://doi.org/10.1145/3308558.3313399

  16. Uyar, A., Aliyu, F.M.: Evaluating search features of Google Knowledge Graph and Bing Satori. Online Inf. Rev. 39, 197–213 (2015). https://doi.org/10.1108/OIR-10-2014-0257

    Article  Google Scholar 

  17. Juel Vang, K.: Ethics of Google’s knowledge graph: some considerations. J. Inf. Commun. Ethics Soc. 11, 245–260 (2013). https://doi.org/10.1108/JICES-08-2013-0028

    Article  Google Scholar 

  18. Strzelecki, A.: Website removal from search engines due to copyright violation. Aslib J. Inf. Manag. 71, 54–71 (2019). https://doi.org/10.1108/AJIM-05-2018-0108

    Article  Google Scholar 

  19. Jansen, B.J., Mullen, T.: Sponsored search: an overview of the concept, history, and technology. Int. J. Electron. Bus. 6, 114–171 (2008). https://doi.org/10.1504/IJEB.2008.018068

    Article  Google Scholar 

  20. Kousha, K., Thelwall, M.: Google Scholar citations and Google Web/URL citations: a multi-discipline exploratory analysis. J. Am. Soc. Inf. Sci. Technol. 58, 1055–1065 (2007). https://doi.org/10.1002/asi.20584

    Article  Google Scholar 

  21. Jacquemont, S., Jacquenet, F., Sebban, M.: Correct your text with Google. In: IEEE/WIC/ACM International Conference on Web Intelligence (WI 2007), pp. 170–176. IEEE (2007). https://doi.org/10.1109/WI.2007.38

  22. Liu, J., Dolan, P., Pedersen, E.R.: Personalized news recommendation based on click behavior. In: Proceedings of the 15th International Conference on Intelligent User Interfaces - IUI 2010, pp. 31–40. ACM, New York (2010). https://doi.org/10.1145/1719970.1719976

  23. Singhal, A.: Official Google Blog: Introducing the Knowledge Graph: things, not strings (2012)

    Google Scholar 

  24. Wang, H., Fang, Z., Ruan, T.: KCF.js: a Javascript library for knowledge cards fusion. In: Proceedings of the 25th International Conference Companion on World Wide Web - WWW 2016 Companion, pp. 267–270. ACM, New York (2016). https://doi.org/10.1145/2872518.2890556

  25. Wakefield, C.C.: Achieving position 0: optimising your content to rank in Google’s answer box. J. Brand Strateg. 7, 326–336 (2019)

    Google Scholar 

  26. Heersmink, R.: A virtue epistemology of the internet: search engines, intellectual virtues and education. Soc. Epistemol. 32, 1–12 (2018). https://doi.org/10.1080/02691728.2017.1383530

    Article  Google Scholar 

  27. Guy, I.: Searching by talking: analysis of voice queries on mobile web search. In: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR 2016, pp. 35–44. ACM, New York (2016). https://doi.org/10.1145/2911451.2911525

  28. Kim, J., Trippas, J.R., Sanderson, M., Bao, Z., Croft, W.B.: How do computer scientists use Google Scholar? A survey of user interest in elements on SERPs and author profile pages. In: Cabanac, G., Frommholz, I., Mayr, P. (eds.) Proceedings of the 8th Workshop on Bibliometric-Enhanced Information Retrieval, pp. 64–75 (2019)

    Google Scholar 

  29. Kritzinger, W.T., Weideman, M.: Parallel search engine optimisation and pay-per-click campaigns: a comparison of cost per acquisition. South African J. Inf. Manag. 19, 1–13 (2017). https://doi.org/10.4102/sajim.v19i1.820

    Article  Google Scholar 

  30. Broder, A.: A taxonomy of web search. ACM SIGIR Forum. 36, 3–10 (2002). https://doi.org/10.1145/792550.792552

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Informatics, University of Economics in Katowice, 40-287, Katowice, Poland

    Artur Strzelecki & Paulina Rutecka

Authors
  1. Artur Strzelecki
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Paulina Rutecka
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Artur Strzelecki .

Editor information

Editors and Affiliations

  1. University of Economics in Katowice, Katowice, Poland

    Małgorzata Pańkowska

  2. University of Rostock, Rostock, Germany

    Kurt Sandkuhl

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Strzelecki, A., Rutecka, P. (2019). The Snippets Taxonomy in Web Search Engines. In: Pańkowska, M., Sandkuhl, K. (eds) Perspectives in Business Informatics Research. BIR 2019. Lecture Notes in Business Information Processing, vol 365. Springer, Cham. https://doi.org/10.1007/978-3-030-31143-8_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-31143-8_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31142-1

  • Online ISBN: 978-3-030-31143-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation