The invention discloses a
semantic search method based on multi-semantic analysis and personalized sequencing, and belongs to the field of information search. The
semantic search method adopts the technical scheme comprising the following steps: firstly, by a crawler technology and other technologies, acquiring webpage documents from
the Internet, classifying the webpage documents by using a
support vector machine, establishing a word vector
library by a multi-semantic
analysis method, and writing multi-classification results into an index to form an index
library; secondly, based on the word vector
library, forming search keywords input by a user into a query vector, performing class matching query with the index library to obtain an initial sequencing result; and finally, according to personalized information and history access information of the user, optimizing the initial sequencing result, and returning the optimized result to the user. By the
semantic search method based on the multi-semantic analysis and the personalized sequencing, the word vector library and the index library with rich semantemes are formed; and through the personalized information and the history access information, a search result can meet a search demand of the user better and search satisfaction of the user can be improved.