incremental learning of triadic plsa for collaborative filtering

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	incremental learning of triadic plsa for collaborative filtering
	Wu Hu; Wang Yongji
	2009
会议名称	5th International Conference on Active Media Technology
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议日期	OCT 22-24,
会议地点	Beijing, PEOPLES R CHINA
出版地	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者	ACTIVE MEDIA TECHNOLOGY, PROCEEDINGS
ISSN	0302-9743
ISBN	978-3-642-04874-6
部门归属	Wu, Hu; Wang, Yongji Chinese Acad Sci, Inst Software, Beijing, Peoples R China.
摘要	PLSA which was originally introduced in text analysis area, has been extended to predict user ratings in the collaborative filtering context, known as Triadic PLSA (TPLSA). It is a promising recommender technique but the computational cost is a bottleneck for huge data set. We design a incremental learning scheme for TPLSA for collaborative filtering task that could make forced prediction and free prediction as well. Our incremental implementation is the first of its kind in the probabilistic model based collaborative filtering area, to our best knowledge. Its effectiveness is validated by experiments designed for both rating-based and ranking-based collaborative filtering.
关键词	Blood Vessel Prostheses Data Flow Analysis Forecasting
主办者	Beijing University of Technology (BJUT); Beijing Municipal Lab of Brain Informatics; Chinese Society of Radiology; National Natural Science Foundation of China (NSFC); State Administration of Foreign Experts Affairs
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8298
专题	互联网软件技术实验室
推荐引用方式 GB/T 7714	Wu Hu,Wang Yongji. incremental learning of triadic plsa for collaborative filtering[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:ACTIVE MEDIA TECHNOLOGY, PROCEEDINGS,2009.

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