中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
incremental learning of triadic plsa for collaborative filtering

文献类型:会议论文

作者Wu Hu ; Wang Yongji
出版日期2009
会议名称5th International Conference on Active Media Technology
会议日期OCT 22-24,
会议地点Beijing, PEOPLES R CHINA
关键词Blood vessel prostheses Data flow analysis Forecasting
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.
会议主办者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
会议录Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者ACTIVE MEDIA TECHNOLOGY, PROCEEDINGS
会议录出版地HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
ISSN号0302-9743
ISBN号978-3-642-04874-6
源URL[http://124.16.136.157/handle/311060/8298]  
专题软件研究所_互联网软件技术实验室 _会议论文
推荐引用方式
GB/T 7714
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,.

入库方式: OAI收割

来源:软件研究所

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