DocumentCode
2301593
Title
Improving Context Awareness Information Retrieval with Online Social Networks
Author
Lee, Haesung ; Kwon, Joonhee
Author_Institution
Dept. of Comput. Sci., Kyonggi Univ., Suwon, South Korea
fYear
2011
fDate
23-25 May 2011
Firstpage
391
Lastpage
395
Abstract
There are many attempts to optimize information retrieval using various social concepts such as social annotations and social book marking. This paper explores the convergence of the information retrieval technique, the social network and the context-aware computing in order to improve information retrieval services. We propose a new ranking algorithm for the context-aware information retrieval. To do this, we get ideas from the social network, previous graph theory and the context-aware computing. Therefore, we investigate the problem of the information retrieval system in ubiquitous computing environment.
Keywords
information retrieval; social networking (online); ubiquitous computing; context awareness information retrieval; online social networks; social annotations; social book marking; ubiquitous computing; Context; Context-aware services; Information services; Social network services; Tagging; PageRank; context awareness information retrieval; social context similarity; social network;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers, Networks, Systems and Industrial Engineering (CNSI), 2011 First ACIS/JNU International Conference on
Conference_Location
Jeju Island
Print_ISBN
978-1-4577-0180-1
Type
conf
DOI
10.1109/CNSI.2011.54
Filename
5954348
Link To Document