Book retrieval recommendation method based on semantic information

Abstract

The invention discloses a book retrieval recommendation method based on semantic information. The book retrieval recommendation method comprises the following steps that 1, a user inputs retrieval information; step 2, the input retrieval information is processed and an initial retrieval word sequence is formed; step 3, semantic extension is performed on the initial search word sequence; step 4, semantic quantization and fuzzification are performed on the initial search word sequence; step 5, keyword weight calculation is carried out; and step 6, the matching degree of the initial search word input by the user and the book information in the system is calculated by using a semantic information fusion algorithm to obtain a book name required by the user. The invention discloses a book retrieval recommendation method based on semantic information, which reflects the intelligent level of a retrieval system and improves the book retrieval efficiency and accuracy.

Description

technical field [0001] The invention belongs to the technical field of book information management, and in particular relates to a book retrieval and recommendation method based on semantic information. Background technique [0002] A recommendation system is the process of using an e-commerce website to provide decision support and information services to customers. Recommender systems are currently widely used in many fields, and the academic community also has a high degree of research enthusiasm for recommender systems. With the deepening of research on recommender systems and the increasing demand for book retrieval, the use of recommender systems in the field of books to solve related problems has become become a research hotspot in recent years. Book retrieval activities have a long history of development. Simply speaking, book retrieval can be divided into broad book retrieval technology and narrow book retrieval technology. The generalized book retrieval technolog...

AI Technical Summary

Problems solved by technology

[0004] In the current book retrieval model, users often spend a long time browsing the results one by one to determine whether they are the information they need. In some cases, users need to search multiple times to find the information they need, which brings great inconvenience to the user. , time-consuming, affecting the user's collection and learning of the required data, and cannot fundamentally solve the characteristics of keyword semantic multiplicity and sorting disorder

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