This tutorial walks through setting up a Vue2 front‑end environment, installing Node.js, Vue‑CLI, Element UI, and Axios, then creates a reusable hot‑search board component, integrates it into the main app, and even shows a Java‑based Zhihu crawler for data collection.
This article demonstrates how to integrate Spring Boot with Redis to implement personal search‑history storage, a hot‑search ranking feature, and a DFA‑based sensitive‑word filtering mechanism, providing complete Maven dependencies, configuration, utility classes, service logic, and controller endpoints.
This guide demonstrates how to integrate Spring Boot with Redis to implement personal search history, hot search ranking, and sensitive word filtering using a DFA algorithm, including Maven dependencies, YAML configuration, utility classes, service implementations, and controller endpoints with full Java code examples.
This article explains how to create a Java‑based hot‑search system using Redis ZSets, record and manage personal search histories, retrieve the top ten queries, and integrate a DFA‑driven sensitive‑word filter within a Spring Boot application, complete with full code examples.
This guide demonstrates how to implement a simple hot‑search feature and personal search‑history management using Java and Redis, covering ZSet‑based ranking, timestamp handling, and a DFA‑based sensitive‑word filter with Spring‑Boot configuration and reusable service methods.
This article demonstrates how to build a simple hot‑search functionality with user search history, hot‑keyword ranking, and profanity filtering in a Spring Boot application using Java, Redis ZSet operations, and a DFA‑based sensitive‑word filter, providing complete controller and service code examples.
