Topic: recommender-engine Goto Github
Some thing interesting about recommender-engine
Some thing interesting about recommender-engine
recommender-engine,The project develops an application that suggests to the reader more similar articles to that he already read. It uses the embedding algorithms of headlines to create their own numerical representation, which allows to compute the similarity between headlines and get the most similar ones.
User: akhsassoualid
recommender-engine,Content Based Movie Recommender
User: cong-khai-nguyen
recommender-engine,Tell-and-Show is a project for open recommendations that uses the AGPLv3 license to protect *data* and to consider said data as the source for machine learning models.
User: drdub
recommender-engine,A graph-based citation network for paper recommender engine
User: huyhoang17
recommender-engine,The objective of this project is to build a kNN-based recommender system in order to predict the top 5 movie based on a given movie, in this case "The Post". As there is no need for classification or regression, the nearestNeighbors model and neighrbors() method are used to find the 5 most closely related films.
User: jisilvia
recommender-engine,Tiktok is an advanced multimedia recommender system that fuses the generative modality-aware collaborative self-augmentation and contrastive cross-modality dependency encoding to achieve superior performance compared to existing state-of-the-art multi-model recommenders.
User: kyegomez
Home Page: https://discord.gg/qUtxnK2NMf
recommender-engine,This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation
User: lucasvinhtran
recommender-engine,🍪 example for recon-engine
User: momtr
recommender-engine,Recommender engine using SageMaker KMeans clustering for a CloudGuru challenge.
User: msaintfelix
recommender-engine,web app in Python using Flask framework
User: neha067
Home Page: https://book-recommender-engine-1e13.onrender.com/
recommender-engine,This repository provides some recommender engine models.
User: ngshya
recommender-engine,The App aims at helping people to fight from depression and communicate with them at a 1-1 basis alongside giving them suggestions based on their choices which will be taken from the user in various formats such as MCQ for a one time basis and Diary entries of user on a daily basis. The app aims to help mainly people who are introvert and don't share their emotions easily with others who are depressed. we aim to ulift their emotions and make world a better place for them.
User: priyansh17
recommender-engine,Link Prediction Recommendation System with Node2Vec
User: rsb516
recommender-engine,Pick Me A Flick: A content filtering based Movie Recommendation Engine .
User: shubham3279
recommender-engine,recommender systems algorithms
User: sueszli
recommender-engine,Cross modal, cross cultural, cross lingual, cross domain, and cross site global OER network
Organization: x5gon
Home Page: https://platform.x5gon.org/
recommender-engine,Learning Best Practices on Recommender Systems
User: yangxuhui
recommender-engine,Incremental recommender engine built with Golang & Redis.
User: yarncraft
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.