A simple content-based recommender implemented in javascript
-
Updated
Dec 30, 2022 - JavaScript
A simple content-based recommender implemented in javascript
Simple Recommender System for Viblo Website using LDA (Latent Dirichlet Allocation)
[DEPRECATED] Baseline Project for Semantic Searching
Daily mensa recommendations for students and lecturers in Münster/Germany.
A Python package for content-based audio retrieval with text queries.
Movie recommendation system using content based and collaborative filtering methods
Content-Based Recommendation System for Podcasts🎙
worldbuilding project with original characters, places, and innovating storytelling. content-based site
Hybrid Recommendation System for car selling. Developed in R language using Neo4J database.
Apache Solr/Tika index/search plus SHA256 content-based addressing for files stored into AWS S3 buckets
Content and Colaborative recommenders
Final Project for Misk Skills Data Science Immersive Bootcamp (2021)
This Repo contains two projects, there are : '2D Content-Based Image Retrieval System' and '3D Model Content-Based Indexing & Retrieval System'.
Tutorials for recommender system
A implementation in Scala of CF, Content Based, Sequential and hybrid recommender systems for Spark
A content-based Book Recommendation System built using Flask and Machine Learning.
A resume project: Content-Based Movie Recommender built using Python, NLP, and Streamlit. Suggests similar movies using cosine similarity on TMDB metadata with poster display.
Implementation of a Siamese Network in TensorFlow/Keras for handwritten digit similarity detection on the MNIST dataset. Demonstrates metric learning using a custom contrastive loss function and shared-weight CNNs.
This project implements a movie recommendation system using Content-Based and Collaborative Filtering approaches. The first method suggests movies based on features like genres and similarity to the user’s preferences, while the second uses ratings from similar users. It includes preprocessing, user profiling, and ranked recommendations.
Add a description, image, and links to the content-based topic page so that developers can more easily learn about it.
To associate your repository with the content-based topic, visit your repo's landing page and select "manage topics."