Author: Zen and the Art of Computer Programming
Machine learning and deep learning platform based on Solr - building an intelligent search platform
1 Introduction
1.1. Background introduction
With the rapid development of search engine technology, search engines have become people's first choice for obtaining information. However, traditional search technology can no longer meet people's growing information needs and diverse search scenarios. The development of machine learning and deep learning technology has brought new opportunities and challenges to search engines. With the help of machine learning and deep learning technology, we can build a more intelligent, efficient, and accurate search platform to provide users with a better search experience.
1.2. Purpose of the article
This article aims to introduce how to build an intelligent search platform based on Solr's machine learning and deep learning platform to improve the search efficiency and accuracy of search engines. The article will be divided into the following parts: technical principles and concepts, implementation steps and processes, application examples and code implementation explanations, optimization and improvements, conclusions and prospects, and appendix: Frequently Asked Questions and Answers. By reading this article, readers can understand the working principles of the Solr machine learning and deep learning platform, learn how to build a Solr-based machine learning and deep learning platform, and realize the construction and application of an intelligent search platform.
1.3. Target audience
This article is primarily intended for the following target audiences:
- Software development engineer: Technical staff who want to know how to use Solr's machine learning and deep learning platform to build an intelligent search platform and improve the search efficiency and accuracy of search engines.
- Product Manager: I have a strong interest in the search engine field and hope to understand how to use machine learning and deep learning technology to improve the user experience of search engines.
- Marketers: Responsible for search engine promotion and publicity, and want to know how to use machine learning and deep learning technology to bring better results to search engine optimization.