Ulster University Logo

Adaptive Data Fusion Methods for Dynamic Search Environments

Wu, Shingli, Xing, Yuping, Li, Jieyu and Bi, Yaxin (2012) Adaptive Data Fusion Methods for Dynamic Search Environments. In: 8th Asia Information Retrieval Societies Conference, AIRS 2012, Tianjin, China, December 17-19, 2012. Proceedings. Lecture Notes in Computer Science 7675, Springer 2012. 10 pp. [Conference contribution]

Full text not available from this repository.

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.

Item Type:Conference contribution (Paper)
Keywords:Information Retrieval, Data fusion
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:33271
Deposited By: Dr Yaxin Bi
Deposited On:10 Feb 2016 14:02
Last Modified:10 Feb 2016 14:02

Repository Staff Only: item control page