Skip to main content
SpringerLink
Log in

Making Mainstream Web Search Engines More Collaborative

  • Conference paper
Book cover Web Information Systems and Technologies (WEBIST 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 101))

Included in the following conference series:

  • 532 Accesses

Abstract

Web search engines are perhaps the killer app of the modern internet age by providing users with near instant access to the world’s information. The success of modern web search engines is due in large part to the ability to handle web-scale information retrieval and also by the sophistication of their algorithmic ranking systems, which combine a variety of measures in order to determine page relevance when it comes to a specific search query. And by and large the heart of web search has remained stable over the past 10 years. However, today researchers are exploring a new approach to supporting web search, once the complements algorithmic ranking techniques by harnessing social signals and supporting a more collaborative view of web search. In this paper we motivate and review recent work in this line of research, including an in-depth case-study of the HeyStaks collaborative search platform.

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 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Amershi, S., Morris, M.R.: CoSearch: a system for co-located collaborative web search. In: CHI 2008: Proceeding of the Twenty-Sixth Annual SIGCHI Conference on Human Factors in Computing Systems, pp. 1647–1656. ACM (2008)

    Google Scholar 

  2. Amitay, E., Darlow, A., Konopnicki, D., Weiss, U.: Queries as anchors: selection by association. In: Hypertext, pp. 193–201 (2005)

    Google Scholar 

  3. Asnicar, F., Tasso, C.: ifWeb: a prototype of user Model-Based intelligent agent for document filtering and navigation in the world wide web. In: Proc. of 6th International Conference on User Modelling (June 1997)

    Google Scholar 

  4. Brin, S., Page, L.: The Anatomy of A Large-Scale Web Search Engine. In: Proceedings of the Seventh International World-Wide Web Conference (1998)

    Google Scholar 

  5. Chang, H., Cohn, D., Mccallum, A.K.: Learning to create customized authority lists. In: Proceedings of the 7th International Conference on Machine Learning, ICML 2000, pp. 127–134. Morgan Kaufmann (2000)

    Google Scholar 

  6. Chirita, P.-A., Nejdl, W., Paiu, R., Kohlschütter, C.: Using odp metadata to personalize search. In: SIGIR, pp. 178–185 (2005)

    Google Scholar 

  7. Chirita, P.-A., Olmedilla, D., Nejdl, W.: PROS: A Personalized Ranking Platform for Web Search. In: De Bra, P.M.E., Nejdl, W. (eds.) AH 2004. LNCS, vol. 3137, pp. 34–43. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  8. Evans, B.M., Kairam, S., Pirolli, P.: Exploring the cognitive consequences of social search. In: CHI Extended Abstracts, pp. 3377–3382 (2009)

    Google Scholar 

  9. Evans, B.M., Kairam, S., Pirolli, P.: Do your friends make you smarter?: An analysis of social strategies in online information seeking. Inf. Process. Manage. 46(6), 679–692 (2010)

    Article  Google Scholar 

  10. Finkelstein, L., Gabrilovich, E., Matias, Y., Rivlin, E., Solan, Z., Wolfman, G., Ruppin, E.: Placing search in context: The concept revisited. In: Proceedings of the 10th International Conference on World Wide Web, pp. 406–414. ACM (2001)

    Google Scholar 

  11. Golovchinsky, G., Qvarfordt, P., Pickens, J.: Collaborative information seeking. IEEE Computer 42(3), 47–51 (2009)

    Article  Google Scholar 

  12. Granka, L.A., Joachims, T., Gay, G.: Eye-tracking analysis of user behavior in www search. In: SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 478–479. ACM Press, New York (2004)

    Google Scholar 

  13. Gulli, A., Signorini, A.: The indexable web is more than 11.5 billion pages. In: WWW 2005: Special Interest Tracks and Posters of the 14th International Conference on World Wide Web, pp. 902–903. ACM Press (2005)

    Google Scholar 

  14. Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. In: Proceedings of the Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 668–677 (1998)

    Google Scholar 

  15. Lawrence, S., Giles, C.L.: Context and page analysis for improved web search. IEEE Internet Computing 2(4), 38–46 (1998)

    Article  Google Scholar 

  16. Ma, Z., Pant, G., Sheng, O.R.L.: Interest-based personalized search. ACM Trans. Inf. Syst. 25 (February 2007)

    Google Scholar 

  17. Makris, C., Panagis, Y., Sakkopoulos, E., Tsakalidis, A.: Category ranking for personalized search. Data & Knowledge Engineering 60(1), 109–125 (2007)

    Article  Google Scholar 

  18. McNally, K., O’Mahony, M.P., Smyth, B., Coyle, M., Briggs, P.: Towards a reputation-based model of social web search. In: Rich, C., Yang, Q., Cavazza, M., Zhou, M.X. (eds.) IUI, pp. 179–188. ACM (2010)

    Google Scholar 

  19. Morris, M.R., Horvitz, E.: S3: Storable, Shareable Search. In: Baranauskas, C., Abascal, J., Barbosa, S.D.J. (eds.) INTERACT 2007, Part I. LNCS, vol. 4662, pp. 120–123. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  20. Morris, M.R.: A survey of collaborative web search practices. In: Proceedings of the Annual SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 1657–1660 (2008)

    Google Scholar 

  21. Morris, M.R., Horvitz, E.: SearchTogether: an interface for collaborative web search. In: UIST 2007: Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology, pp. 3–12. ACM, New York (2007)

    Google Scholar 

  22. Morris, M.R., Teevan, J., Panovich, K.: What do people ask their social networks, and why?: a survey study of status message q&a behavior. In: CHI 2010: Proceedings of the 28th International Conference on Human Factors in Computing Systems, pp. 1739–1748. ACM (2010)

    Google Scholar 

  23. Pickens, J., Golovchinsky, G., Shah, C., Qvarfordt, P., Back, M.: Algorithmic mediation for collaborative exploratory search. In: SIGIR 2008: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 315–322. ACM, New York (2008)

    Google Scholar 

  24. Pretschner, A., Gauch, S.: Ontology based personalized search. In: ICTAI, pp. 391–398 (1999)

    Google Scholar 

  25. Reddy, M., Dourish, P.: A finger on the pulse: temporal rhythms and information seeking in medical work. In: Proceedings of the 2002 ACM Conference on Computer Supported Cooperative Work, pp. 344–353. ACM (2002)

    Google Scholar 

  26. Reddy, M., Dourish, P., Pratt, W.: Coordinating heterogeneous work: information and representation in medical care. In: ECSCW 2001, pp. 239–258. Springer, Heidelberg (2001)

    Google Scholar 

  27. Reddy, M., Jansen, B.: A model for understanding collaborative information behavior in context: A study of two healthcare teams. Information Processing & Management 44(1), 256–273 (2008)

    Article  Google Scholar 

  28. Reddy, M.C., Spence, P.R.: Collaborative information seeking: A field study of a multidisciplinary patient care team. Inf. Process. Manage. 44(1), 242–255 (2008)

    Article  Google Scholar 

  29. Shen, X., Tan, B., Zhai, C.: Implicit user modeling for personalized search. In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management, pp. 824–831. ACM (2005)

    Google Scholar 

  30. Smeaton, A.F., Foley, C., Byrne, D., Jones, G.J.F.: Ibingo mobile collaborative search. In: CIVR, pp. 547–548 (2008)

    Google Scholar 

  31. Smeaton, A.F., Lee, H., Foley, C., McGivney, S.: Collaborative video searching on a tabletop. Multimedia Syst. 12(4-5), 375–391 (2007)

    Article  Google Scholar 

  32. Smyth, B.: The sensor web: bringing information to life. ERCIM News (2009)

    Google Scholar 

  33. Smyth, B., Balfe, E., Boydell, O., Bradley, K., Briggs, P., Coyle, M., Freyne, J.: A live-user evaluation of collaborative web search. In: International Joint Conference on Artificial Intelligence (IJCAI), pp. 1419–1424 (2005)

    Google Scholar 

  34. Smyth, B., Balfe, E., Freyne, J., Briggs, P., Coyle, M., Boydell, O.: Exploiting Query Repetition and Regularity in an Adaptive Community-Based Web Search Engine. User Modeling and User-Adaptated Interaction 14(5), 383–423 (2004)

    Article  Google Scholar 

  35. Smyth, B., Briggs, P., Coyle, M., O’Mahony, M.P.: A Case-Based Perspective on Social Web Search. In: McGinty, L., Wilson, D.C. (eds.) ICCBR 2009. LNCS, vol. 5650, pp. 494–508. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  36. Smyth, B., Briggs, P., Coyle, M., O’Mahony, M.P.: Google Shared. A Case-Study in Social Search. In: Houben, G.-J., McCalla, G., Pianesi, F., Zancanaro, M. (eds.) UMAP 2009. LNCS, vol. 5535, pp. 283–294. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  37. Song, R., Luo, Z., Wen, J.-R., Yu, Y., Hon, H.-W.: Identifying ambiguous queries in web search. In: WWW 2007: Proceedings of the 16th International Conference on World Wide Web, pp. 1169–1170. ACM, New York (2007)

    Google Scholar 

  38. Spink, A., Jansen, B.J.: A study of web search trends. Webology 1(2) (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. CLARITY - Centre for Sensor Web Technologies, School of Computer Science and Informatics, University College Dublin, Dublin, Ireland

    Barry Smyth

Authors
  1. Barry Smyth
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Systems and Informatics, Institute for Systems and Technologies of Information, Control and Communication (INSTICC), and, Instituto Politécnico de Setúbal (IPS), Rua do Vale de Chaves, Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe  & José Cordeiro  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Smyth, B. (2012). Making Mainstream Web Search Engines More Collaborative. In: Filipe, J., Cordeiro, J. (eds) Web Information Systems and Technologies. WEBIST 2011. Lecture Notes in Business Information Processing, vol 101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28082-5_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28082-5_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28081-8

  • Online ISBN: 978-3-642-28082-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation