[Purpose/Significance] In the practice of sci-tech novelty search, the search formulas for some novelty search points contain a large number of search terms. When the search results do not include suitable literature, further adjustments to the search strategy will be difficult, and influenced by the retrieval skills of the searcher. [Method/Process] The Boolean Operator Selection System for Sci-tech Novelty Searching uses the amount of information of the content of novelty search points that is also reported by the literature to quantify the quality of novelty denied by the literature, the relevance of a literature to a novelty search point. And this system has retrieval, analysis, and interaction functions to counts the distribution characteristics of the search terms in each database, calculates the amount of information of the overlapping part in the literature and novelty search points, and evaluates the literature relevance. The evaluation will be automatically corrected based on feedback from the searcher. Finally, the system will generate a search formula based on maximizing the correlation of the results. [Result/Conclusion] Practical use has proven that the system can assist in making retrieval strategies of various types of novelty points, especially for novelty search points that involve a large number of search terms.