Algorithm Optimization about Textual Case Retrieval Based on Topic Words
Abstract: Two shortages of Boolean retrieval, ignoring the semantic relations between words and unable to rank the retrieval results in order of importance, were found by analyzing the essence of traditional text retrieval, and in view of which, an improvement of algorithm optimization based on topic words was proposed. Through enriching topic words to structure keywords library, the semantic distance and similarity of keywords were calculated on the basis of semantic retrieval framework. The improved algorithm was applied in the military case retrieval system at last, and then retrieval results were analyzed to detect performance. It is observed that the improved algorithm has a better improvement in both precision rate and recall rate of retrieval.
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