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题名:
incremental learning of triadic plsa for collaborative filtering
作者: Wu Hu ; Wang Yongji
会议文集: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议名称: 5th International Conference on Active Media Technology
会议日期: OCT 22-24,
出版日期: 2009
会议地点: Beijing, PEOPLES R CHINA
关键词: Blood vessel prostheses ; Data flow analysis ; Forecasting
出版者: ACTIVE MEDIA TECHNOLOGY, PROCEEDINGS
出版地: HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
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.
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
英文摘要: 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.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8298
Appears in Collections:互联网软件技术实验室 _会议论文

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Recommended Citation:
Wu Hu,Wang Yongji. incremental learning of triadic plsa for collaborative filtering[C]. 见:5th International Conference on Active Media Technology. Beijing, PEOPLES R CHINA. OCT 22-24,.
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