C. Chen, X. Ji, L. He, and L. Tian (PRC)
Applications, Digital Library, Information Retrieval, Clustering Analysis
More and more digital literature emerges on the internet. It is difficult for users to find the information they really need through a simple search due to the amount of electronic literature on the internet. In this article a digital literature search system is described, which contains link analysis, information retrieval and document clustering technology. The system analyses the rank score of literatures based on their attributes and the relationship of them, then feedback the most important literatures according to users’ requirement. Besides, this system can group the results by different characters and feed back respectively. It will enhance user’s efficiency in literatures retrieval.
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