Page as a Meeting Place: Web Search Augmented with Social Communication

Chapter

Abstract

When searching for information, a user generally uses search engines on the web. Often search results do not satisfy all users because they may have different needs and varying levels of knowledge. We develop a search system that combines the merits of searching and social communication for improving user experience on the web. This system includes a page ranking algorithm based on the analysis of a hyperlink structure and a social link structure, and a communication interface attached to a page that allows real-time users to communicate with each other. By our system, users can quickly search not only for popular web pages but also for other users currently accessing them.

Keywords

Web search Social communication Real-time processing Link analysis 

References

  1. 1.
    Agichtein E, Brill E, Dumais S (2006) Improving web search ranking by incorporating user behavior information. In: ACM: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2006, 6–11 August, 2006, pp 19–26, Seattle, WA, USAGoogle Scholar
  2. 2.
    Brin S, Page L (1998) The anatomy of a large-scale hypertextual web search engine. Comput Network 30(1–7):107–117Google Scholar
  3. 3.
    Chang EY (2009) Confucius and gitsh intelligent disciples. In: ACM: Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, 2–6 November, 2009, pp 3–3, Hong KongGoogle Scholar
  4. 4.
    Goel A, Munagala K (2009) Hybrid keyword search auctions. In: ACM: Proceedings of the 18th International Conference on World Wide Web, WWW 2009, 20–24 April, 2009, pp 221–230, Madrid, SpainGoogle Scholar
  5. 5.
    Greenberg S, Rounding M (2001) The notification collage: Posting information to public and personal displays. In: ACM: Proceedings of the SIG-CHI on Human Factors in Computing Systems, CHI 2001, 31 March - 5 April, 2001, pp 515–521, Seattle, WA, USAGoogle Scholar
  6. 6.
    Jatowt A, Kawai Y, Tanaka K (2008) What can history tell us? towards different models of interaction with document histories. In: ACM: Proceedings of the 19th ACM Conference on Hypertext and Hypermedia, Hypertext 2008, 19–21 June, 2008, pp 5–14, Pittsburgh, PA, USAGoogle Scholar
  7. 7.
    Matsui Y, Kawai Y, Zhang J (2011) Hybrid web search with social communication service. In: Lecture Notes in Engineering and Computer Science: Proceedings of The International MultiConference of Engineers and Computer Scientists 2011, IMECS 2011, 16-18 March, 2011, pp 687–692, Hong KongGoogle Scholar
  8. 8.
    Morris MR, Horvitz E (2007) Searchtogether: An interface for collaborative web search. In: ACM: Proceedings of the 20th Annual ACM Symposium on User Interface Software and Technology, UIST 2007, 7–10 October, 2007, pp 3–12, Newport, Rhode Island, USAGoogle Scholar
  9. 9.
    Pickens J, Golovchinsky G, Shah C, Qvarfordt P, Back M (2008) Algorithmic mediation for collaborative exploratory search. In: ACM: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008, 20–24 July, 2008, pp 315–322, SingaporeGoogle Scholar
  10. 10.
    Ranganathan A, Campbell RH, Ravi A, Mahajan A (2002) Conchat: A context-aware chat program. IEEE Pervasive Comput 1(3):51–57CrossRefGoogle Scholar
  11. 11.
    Richardson M, Dominowska E, Ragno R (2007) Predicting clicks: Estimating the click-through rate for new ads. In: ACM: Proceedings of the 16th International Conference on World Wide Web, WWW 2007, 8–12 May, 2007, pp 521–530, Banff, Alberta, CanadaGoogle Scholar
  12. 12.
    Twidale MB, Nichols DM, Paice CD (1997) Browsing is a collaborative process. Inform Process Manag 33(6):761–783CrossRefGoogle Scholar
  13. 13.
    Viegas FB, Donath JS (1999) Chat circles. In: ACM: Proceedings of the CHI99 Conference on Human Factors in Computing Systems, CHI 1999, 15–20 May, 1999, pp 9–16, Pittsburgh, PA, USAGoogle Scholar
  14. 14.
    White RW, Bilenko M, Cucerzan S (2007) Studying the use of popular destinations to enhance web search interaction. In: ACM: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2007, 23–27 July, 2007, pp 159–166, Amsterdam, The NetherlandsGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Kyoto Sangyo UniversityKyoto-CityJapan

Personalised recommendations