Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 多媒体计算与图形学团队

	Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation
	Min, Weiqing 1; Bao, Bing-Kun1 ; Xu, Changsheng1 ; Hossain, M. Shamim 2
刊名	IEEE TRANSACTIONS ON MULTIMEDIA
	2015-10-01
卷号	17 期号:10 页码:1787-1801
关键词	Cross-platform topic model recommendation
英文摘要	In this paper, we investigate a novel cross-platform multimedia problem: given two platforms, Flickr and Foursquare, we conduct the recommendation between these two platforms, namely the photo recommendation from Flickr to Foursquare users and the venue recommendation from Foursquare to Flickr users. Such inter-platform recommendations enable users from one single platform to enjoy different recommendation services effectively. To solve the problem, we propose a cross-platform multi-modal topic model ((CMTM)-T-3), which is capable of: 1) differentiating between two kinds of topics, i.e., platform-specific topics only relevant to a certain platform and shared topics characterizing the knowledge shared by different platforms and 2) aligning multiple modalities from different platforms. Specifically, (CMTM)-T-3 can not only split the topic space into the shared topic space and platform-specific topic space and learn them simultaneously, but also enable the alignment among different modalities through the learned topic space. Given the location information, we applied the proposed (CMTM)-T-3 into two inter-platform recommendation applications: 1) personalized venue recommendation from Foursquare to Flickr users and 2) personalized image recommendation from Flickr to Foursquare users. We have conducted experiments on the collected large-scale real-world dataset from Flickr and Foursquare. Qualitative and quantitative evaluation results validate the effectiveness of our method and demonstrate the advantage of connecting different platforms with different modalities for the inter-platform recommendation.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
研究领域[WOS]	Computer Science ; Telecommunications
关键词[WOS]	NETWORKS
收录类别	SCI
语种	英语
WOS记录号	WOS:000361685400009
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/9016]
专题	自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.King Saud Univ, SWE Dept, Coll Comp & Informat Sci, Riyadh 11543, Saudi Arabia
推荐引用方式 GB/T 7714	Min, Weiqing,Bao, Bing-Kun,Xu, Changsheng,et al. Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2015,17(10):1787-1801.
APA	Min, Weiqing,Bao, Bing-Kun,Xu, Changsheng,&Hossain, M. Shamim.(2015).Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation.IEEE TRANSACTIONS ON MULTIMEDIA,17(10),1787-1801.
MLA	Min, Weiqing,et al."Cross-Platform Multi-Modal Topic Modeling for Personalized Inter-Platform Recommendation".IEEE TRANSACTIONS ON MULTIMEDIA 17.10(2015):1787-1801.