DocumentCode :
2990193
Title :
The Tag Navigation recommendation with adaptive learning method
Author :
Jiang Wei ; Pang Xiu-li
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
fYear :
2012
fDate :
20-22 Sept. 2012
Firstpage :
46
Lastpage :
52
Abstract :
Social Tags are widely used in web 2.0, and they bring the new chance and challenge to the recommender system, which is used to help users deal with information overload and provide personalized services. There are three respects of work done in this paper: firstly, the n-gram based Tag Navigation is presented to provide the assistant support for tag retrieval; secondly, the Average Mutual Information based tag similarity measure is detailed, furthermore this kind of semantic relation is applied to the retrieval intention expansion; thirdly, an approach of ranking based recommendation is presented, and the adaptive learning mechanism is explored. The experiments verify above methods, and result shows the complex features adopted in the recommendation bring improvement by 13.39%.
Keywords :
information retrieval; learning (artificial intelligence); recommender systems; social networking (online); Web 2.0; adaptive learning method; average mutual information; n-gram based tag navigation; personalized services; recommender system; retrieval intention expansion; social tags; tag navigation recommendation; tag retrieval; tag similarity measure; Collaboration; Equations; Frequency measurement; Mathematical model; Mutual information; Navigation; Recommender systems; Average Mutual Information; Tag Navigation; adaptive learning algorithm; personal recommendation; retrieval intention expansion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location :
Dallas, TX
ISSN :
2155-1847
Print_ISBN :
978-1-4673-3015-2
Type :
conf
DOI :
10.1109/ICMSE.2012.6414159
Filename :
6414159
Link To Document :
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