A Kind of Efficient Search Method Based on Big Data

This paper proposed an efficient search method to the problem of low efficiency for large dada queries.Using shared history query results as a set of intermediate results,when a new query request arrives,the first match for historical inquiry is directly added to the matching portion of the historical results for directly as part of the new query result of the request if achieving matching.It can reduce the large number of double counting query history,save search time and improve query efficiency.By experimental comparison and analysis show that data based query methods can improve query efficiency.