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| Research of Books Retrieval System Under Thinking of Hybrid System |
| Li Zhifeng1,2, Zhang Liyi2 |
1. Department of Marketing, Guangdong Peizheng College, Guangzhou 510830, China;
2. School of Information Management, Wuhan University, Wuhan 430072, China |
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Abstract Considering the ignorance of readers’ information in the book retrieval of library, the paper proposes the hybrid retrieval ideas based on hybrid thinking and creates a new retrieval model. According to the retrieval frequency of the books, the new retrieval model divides the books into “cold or hot” categories, which turns the one-way retrieval into two-way retrieval. Combined with the characteristics of the readers and the use of Apriori and K-means algorithm, it builds a mathematical model and provides readers with the most appropriate books. In accordance with the new ideas, experimental data is used in the comparative evaluation of new search and the old search,and the experiments show that the retrieval accuracy and efficiency of the new models are improved significantly.
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Received: 30 March 2012
Published: 11 October 2012
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