Adaptive Data Fusion Methods for Dynamic Search Environments

Shingli Wu, Yuping Xing, Jieyu Li, Yaxin Bi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In the web age, publishing information and opinions online is very easy and fast. Since the web is reachable by a huge number of grassroots people, the number and scale of social networking sites are growing at a tremendous speed. It is an interesting thing to find out information, news & events, opinions, etc., exchanged in these sites. Thus quite a few researchers focus on this and some related issues. One major characteristic of these social networking sites is their dynamic nature. When new things or themes appear, they are discussed in quirk, and then forgotten very quickly. It is also true that the thriving and decline of such sites may happen very quickly. How to cope with this dynamic environment is a challenging issue for the information/opinion search services.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherSpringer
Pages336-345
Number of pages10
Publication statusPublished - Dec 2012
Event8th Asia Information Retrieval Societies Conference, AIRS 2012, Tianjin, China, December 17-19, 2012. Proceedings -
Duration: 1 Dec 2012 → …

Conference

Conference8th Asia Information Retrieval Societies Conference, AIRS 2012, Tianjin, China, December 17-19, 2012. Proceedings
Period1/12/12 → …

Keywords

  • Information Retrieval
  • Data fusion

Fingerprint Dive into the research topics of 'Adaptive Data Fusion Methods for Dynamic Search Environments'. Together they form a unique fingerprint.

  • Cite this

    Wu, S., Xing, Y., Li, J., & Bi, Y. (2012). Adaptive Data Fusion Methods for Dynamic Search Environments. In Unknown Host Publication (pp. 336-345). Springer.