Video recommendation based on multi-modal information and multiple kernel

Verfasser / Beitragende:
[Zhan Li, Jin-Ye Peng, Guo-Hua Geng, Xiao-Jiang Chen, Pan-Pan Zheng]
Ort, Verlag, Jahr:
2015
Enthalten in:
Multimedia Tools and Applications, 74/13(2015-07-01), 4599-4616
Format:
Artikel (online)
ID: 605447292
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024 7 0 |a 10.1007/s11042-013-1825-x  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s11042-013-1825-x 
245 0 0 |a Video recommendation based on multi-modal information and multiple kernel  |h [Elektronische Daten]  |c [Zhan Li, Jin-Ye Peng, Guo-Hua Geng, Xiao-Jiang Chen, Pan-Pan Zheng] 
520 3 |a Collaborative Filter (CF) algorithms often suffer from data sparsity and item cold start problem, for the user-item matrix is insufficient and extremely sparse especially when new item is added to recommendation system. These two problems also exist in video recommendation process. We propose two methods to solve them by incorporating multimodal information and multiple kernel together. To solve item cold start problem, we learn a user taste hyper-plane by using multiple kernel SVM to represent the user taste, which is further used to predict the recommendation of new added videos. We combine the different user taste hyper-plane similarity and the traditional cosine similarity with a trade-off between them to address the data sparse problem. Experimental results show that our proposed algorithm can alleviate the data sparsity and item cold start problems. 
540 |a Springer Science+Business Media New York, 2014 
690 7 |a Video recommendation  |2 nationallicence 
690 7 |a Multi-modal information  |2 nationallicence 
690 7 |a Multiple kernel  |2 nationallicence 
690 7 |a Collaborative filtering  |2 nationallicence 
700 1 |a Li  |D Zhan  |u School of Information Science and Technology, Northwest University, 710069, Xi'an, China  |4 aut 
700 1 |a Peng  |D Jin-Ye  |u School of Information Science and Technology, Northwest University, 710069, Xi'an, China  |4 aut 
700 1 |a Geng  |D Guo-Hua  |u School of Information Science and Technology, Northwest University, 710069, Xi'an, China  |4 aut 
700 1 |a Chen  |D Xiao-Jiang  |u School of Information Science and Technology, Northwest University, 710069, Xi'an, China  |4 aut 
700 1 |a Zheng  |D Pan-Pan  |u School of Information Science and Technology, Northwest University, 710069, Xi'an, China  |4 aut 
773 0 |t Multimedia Tools and Applications  |d Springer US; http://www.springer-ny.com  |g 74/13(2015-07-01), 4599-4616  |x 1380-7501  |q 74:13<4599  |1 2015  |2 74  |o 11042 
856 4 0 |u https://doi.org/10.1007/s11042-013-1825-x  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s11042-013-1825-x  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Li  |D Zhan  |u School of Information Science and Technology, Northwest University, 710069, Xi'an, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Peng  |D Jin-Ye  |u School of Information Science and Technology, Northwest University, 710069, Xi'an, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Geng  |D Guo-Hua  |u School of Information Science and Technology, Northwest University, 710069, Xi'an, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Chen  |D Xiao-Jiang  |u School of Information Science and Technology, Northwest University, 710069, Xi'an, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zheng  |D Pan-Pan  |u School of Information Science and Technology, Northwest University, 710069, Xi'an, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Multimedia Tools and Applications  |d Springer US; http://www.springer-ny.com  |g 74/13(2015-07-01), 4599-4616  |x 1380-7501  |q 74:13<4599  |1 2015  |2 74  |o 11042