DocumentCode
2118880
Title
A tag recommendation algorithm based on SCOT tag ontology
Author
Hui, Gang-gang ; Su, Yi-dan ; Qin, Hua ; Zhang, Xin-lun
Author_Institution
School of Computer and Electronic Information, Guangxi University, Nanning, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
4896
Lastpage
4899
Abstract
Responding to the problem of tag ambiguity and lack of tag semantics, we propose a new recommendation algorithm based on SCOT tag ontology. The algorithm utilizes rich semantics provided by SCOT ontology to expand tag co-occurrence and eliminate tag disambiguation based on tag semantic similarity for candidate tag sets, aiming to eliminate ambiguity tags and recommend semantic related tags, thereby improving the quality of recommendation. Experimental results show that the algorithm is effective.
Keywords
Business; Food industry; Indexes; Production facilities; Security; Stability criteria; SCOT; co-occurrence expanding; semantic disambiguation; tag ontology; tag recommendation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5690071
Filename
5690071
Link To Document