The efficiency of text search engines relies on data structure: inverted index. And the more large space is need to storage the inverted index. A newcompression algorithm was proposed. For the given document collections. Terrier,the information retrival tool,was used to build inverted index,and the state-of-the-art compression techniques was used to compress inverted file. Then the compress ratio was confirmed by comparing the file size. Experiments showthat the newcompression techniques can get much better...
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