This projects provides image based recognition of unknown tourist places and also recommends tourist places based on user preference.
-
Updated
Jun 14, 2023 - CSS
This projects provides image based recognition of unknown tourist places and also recommends tourist places based on user preference.
Recommendation System for Anime
Developing a news app with different recommender systems
Improve user´s average time on page of your Gridsome site by automatically finding related posts or products. Uses machine learning to determine recommendations of all kind, be it other posts, context-related ads, related products in your shop, affiliate products and more.
This is a movie recommendation system project that I developed to put into practice some Machine Learning techniques, so the goal is for the user to choose a movie that have already been watched and receive the recommendation of new movies related to the chosen one.
Live coding session presented at RecSys 2020
Federated Meta-Learning: a concept that allows everyone to benefit from the data that is generated through machine learning libraries.
Recommender system and search engine for scholarly articles/research papers using Doc2Vec
A personalized recommendation system designed to enhance the travel experience of tourists visiting Morocco
A web application that uses a recommendation system to curate Spotify playlists for you based on your friends’ music tastes.
A content Based Movie Recommender System
Personalized course recommendation system----R language
This is a project on Reactive Programming using Scala and Machine Learning using Apache Spark MLib
[2023 Play Data - Data Engineering 22nd] 담은 곡 기반 부를 곡 추천 서비스 - Romanti:veloper 팀
This JavaScript engine recommends openings based on individual play style. Users can specify whether they are looking for an aggressive/passive opening or an open/closed game. They can also specify whether they like gambits and how deep into theory they'd like to go. Chess opening descriptions are scraped from Wikipedia.
Add a description, image, and links to the recommender-system topic page so that developers can more easily learn about it.
To associate your repository with the recommender-system topic, visit your repo's landing page and select "manage topics."