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 :
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