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Abstract：In order to improve the efficiency of sci-tech novelty retrieval, an intelligent sci-tech novelty retrieval system was constructed on the basis of conventional novelty retrieval system by using information technology to optimize and reconstruct the business process of sci-tech novelty retrieval.Firstly,the network crawler technology was used to search and download the relevant literature resources automatically according to the keywords of the application for scientific and technological projects.Secondly,the self-adaptive allocation algorithm was used to assign the task of novelty search and select the experts to audit the novelty search reports.Finally,based on the accumulated previous novelty search reports and literature in the system,the full-text search of the generated novelty search reports was carried out by using Lucene search tool.First,it realizes the automation of literature resources retrieval,guarantees the comprehensiveness and accuracy of retrieval approach,scope and expression,avoids a large number of manual searches and improves the efficiency of literature retrieval.Second,it realizes the intelligence of task allocation,balances the distribution of related tasks,and maximizes the efficiency of novelty retrieval.Third,it realizes accurate comparison with previous research projects, avoids duplicate declaration of scientific and technological projects, and further improves the quality of novelty search.