Topic: recommend Goto Github
Some thing interesting about recommend
Some thing interesting about recommend
recommend,Research on Collaborative Filtering Algorithms
User: alenqi
recommend,Algolia DevCon 2022 - Algolia powered storefront demo in React / Next.js
Organization: algolia-samples
Home Page: https://algolia-storefront-demo-nextjs.netlify.app/
recommend,A UI library for Algolia Recommend, available for Vanilla JavaScript and React.
Organization: algolia
Home Page: https://www.algolia.com/doc/ui-libraries/recommend/introduction/what-is-recommend/
recommend,A library class for WordPress plugins to tweak the results of the WordPress Plugins API with custom plugin recommendations.
User: deckerweb
recommend,A pyhton implentation of AtF
User: devileee
recommend,recommander à un(e) ami(e)
User: gcyrillus
Home Page: https://pluxopolis.net
recommend,Facial Recognition and Recommendation System based Web application
User: hassan11196
Home Page: https://recognize-and-recommend.netlify.app/
recommend,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.
User: hongzhaohua
recommend,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.
User: hongzhaohua
recommend,Hadoop mapreduce. 基于ItemCF的协同过滤 物品推荐系统 Collaborative filtering goods recommendation system based on ItemCF
User: huangyueranbbc
recommend,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
User: hwholiday
Home Page: https://www.hwholiday.com/
recommend,🪂 A Github Action to deploy the Jekyll site conveniently for GitHub Pages.
User: jeffreytse
recommend,How to survive as a developer for Salesforce Marketing Cloud
User: joernberkefeld
Home Page: https://joernberkefeld.github.io/SFMC-Cookbook/
recommend,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.
User: ltk84
recommend,[UserScript] 为 B 站首页添加像 App 一样的推荐
User: magicdawn
Home Page: https://greasyfork.org/zh-CN/scripts/443530-bilibili-app-recommend
recommend,Legal Up recommends suitable lawyers⚖️ to clients based on concise case descriptions🔍 using advanced algorithms, ensuring clients find the right legal expertise. 💼
User: meet244
Home Page: https://legalup.vercel.app/
recommend,TvRecommender lists a bunch of todays prime time TV program from Austria. Based on your favorite actors, it can make recommendations for you.
User: peterbrain
recommend,Recommend iOS SDK
Organization: recommend-pro
Home Page: https://recommend.pro
recommend,A list of my favorite findings in the software industry. 🕶️
User: ryparker
Home Page: https://ryparker.github.io/Awesome-List/
recommend,easy use user based collaborative filtering recommender system
User: talhakalem33
recommend,🌟 Useful applications for macOS recommend & helper.
User: woolson
recommend,[Recommend] 适用于创建管理后台项目
Organization: workplus-templates
recommend,[Recommend] 适用于创建H5轻应用
Organization: workplus-templates
recommend,This is sample android application that uses AR technologies. (But, this doesn't use recommendation lib..)
Organization: yoshi-practice
recommend,基于协同过滤的电影推荐系统
User: yutian-9264
recommend,paper implentation of NGCF,LigitGCN
User: zhanchao019
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.