Chenxing Yang

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A recommender system is useful for a digital library to suggest the books that are likely preferred by a user. Most recommender systems using collaborative filtering approaches leverage the explicit user ratings to make personalized recommendations. However, many users are reluctant to provide explicit ratings, so ratings-oriented recommender systems do not(More)
Book reviews contributed by readers in social sites contain valuable information on books' content, style and merit, many informative words in which can be used to enrich metadata of books in China-Us Million Book Digital Library. In this paper, we present a system for review-oriented metadata enrichment and propose an Book-Centric Diverse Random Walk(More)
It has great significance to estimate the schedulable capacity of air-conditioning load of public building for participating the power network regulation by forecasting the air-conditioning load accurately. A novel forecast method considering the accumulated temperature effect is proposed in this paper based on Elman neural network. Firstly, the starting(More)
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