Hello everyone, I am Weixue AI. Today I will introduce you to the practical application of knowledge graph 20-Chinese book query and recommendation system based on knowledge graph. This article will introduce in detail how to use Py2neo to build a Chinese book recommendation application project based on knowledge graph. . We will first introduce the related concepts of knowledge graph and Py2neo, then demonstrate how to import Chinese book data into the Neo4j graph database through actual data and code, and finally implement a function of inputting Chinese books and recommending related books by the system.
Table of contents
- Introduction to Knowledge Graph
- Introduction to Py2neo
- Project Requirements Analysis
- Data sample and processing
- Import data into Neo4j
- Realize the book recommendation function
- project summary
1. Introduction to knowledge graph
Knowledge Graph is a network data structure that describes the relationship between entities. By representing entities and relationships as nodes and edges, a complex network topology is formed. Knowledge graphs have played an important role in Internet search, recommendation systems, intelligent question answering and other fields. In this project, we will use the knowledge graph to represent and process the information of Chinese books, and then realize the recommendation function.
2. Introduction to Py2neo
Py2neo is a Python library for operating Neo4j graph databases. It provides a concise and easy-to-use API for us to operate Neo4j databases from Python code. With Py2neo, we can quickly build knowledge map applications.
3. Project requirements analysis
The goal of this project is to build a Chinese book recommendation application based on knowledge graph. The specific requirements are as follows:
- Enter a Chinese book, and the system can recommend other books related to it.
- Recommendations are made based on information such as the author, category, and publisher of the book.
In order to realize these requirements, we need to collect a certain amount of Chinese book data first, and import these data into the Neo4j graph database. Next,