⚡️ Libraries for building performant and instant search and recommend experiences with Algolia. Compatible with JavaScript, TypeScript, React and Vue.

[UserScript] Bilibili 自定义首页

专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎.

🪂 A Github Action to deploy the Jekyll site conveniently for GitHub Pages.

基于JStarCraft RNS引擎,Spring Boot框架和公共数据集搭建的千人千面演示项目. 系统会根据用户的行为记录,自动调整用户的推荐内容和搜索内容.使用者可以通过该项目了解*推荐系统*与*搜索系统*的运作流程. 涵盖了个性化推荐与个性化搜索2个部分.

How to survive as a developer for Salesforce Marketing Cloud

Research on Collaborative Filtering Algorithms

A Go web framework for quickly building recommendation online services based on JSON configuration.

推荐算法、相似度算法、布隆过滤器、均值算法、一致性Hash、数据结构、leetcode练习

Hadoop mapreduce. 基于ItemCF的协同过滤 物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF

A UI library for Algolia Recommend, available for Vanilla JavaScript and React.

Algolia DevCon 2022 - Algolia powered storefront demo in React / Next.js

A list of my favorite findings in the software industry. 🕶️

Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.

A library class for WordPress plugins to tweak the results of the WordPress Plugins API with custom plugin recommendations.

Recommend iOS SDK

Legal Up recommends suitable lawyers⚖️ to clients based on concise case descriptions🔍 using advanced algorithms, ensuring clients find the right legal expertise. 💼

基于协同过滤的电影推荐系统

Facial Recognition and Recommendation System based Web application

IZRandom is a school project developed by me (Lam), Phuc, Tung, and Quang with the purpose of helping us make decisions quickly with random suggestions. If you find it useful, you can also use it, or customize it for yourself.