Topic: content-based-filtering Goto Github
Some thing interesting about content-based-filtering
Some thing interesting about content-based-filtering
content-based-filtering, I developed an advanced game classification model using cutting-edge deep learning techniques for ten different games with high accuracy. It also provides personalized game recommendations using FastAPI and a database of 20,000 similar games.
User: 16abhinavreddy
Home Page: https://16abhinavreddy.github.io/Gamify/
content-based-filtering,movue recommendation systen project
User: abhakta-47
Home Page: https://kind-mestorf-fc29b6.netlify.app/
content-based-filtering,A simple books recommender system that provides the functionality to ask for books recommendations or search for them using various options.
User: ahmedshoeb0
content-based-filtering,A simple movie recommender system that uses two main approaches to make recommendations: Content-based algorithm and Collaborative filtering algorithm (User-based).
User: ahmedshoeb0
content-based-filtering,Anime recommender system for Anilist user profiles and individual titles
User: alimu11
Home Page: https://anime-recommender-AlimU.pythonanywhere.com
content-based-filtering,A react native(UI), FastAPI (Server) and MySQL(DB) non-fungible token market place with a machine learning content-based filtering recommendation engine.
User: anothermorena
content-based-filtering,Objective of the project is to build a hybrid-filtering personalized news articles recommendation system which can suggest articles from popular news service providers based on reading history of twitter users who share similar interests (Collaborative filtering) and content similarity of the article and user’s tweets (Content-based filtering).
User: archd3sai
content-based-filtering,A Project from Dicoding's Machine Learning Expert Class. Recommender System for Anime using Content-Based Filtering and Collaborative Filtering
User: axelseancp
content-based-filtering,Project was done as a part of Machine Learning (CSE343) at IIIT Delhi.
User: bhavyanarang
content-based-filtering,Posts/Feeds recommendation engine based on content based and collaborative filtering methods
User: bumblebee26
content-based-filtering,Collaborative Filtering NN and CNN based recommender implemented with MXNet
User: chen0040
content-based-filtering,Design and implementation from scratch of different models for a musical recommendation system
User: d-elicio
content-based-filtering,Movie recommendation chatbot using an LLM and content-based filtering
User: damirsagdullin
content-based-filtering,Content-Based Recommender System recommends movies similar to the movie user likes based on genres, director, actors, etc. Used for recommending movies, music, books etc.
User: deepali-14
content-based-filtering,Recommendation system for inter-related content. Uses natural language processing and collaborative filtering. Provides recommendations for books, movies, tvshows
User: devendrakushwah
Home Page: http://minorproject.pythonanywhere.com
content-based-filtering,This code and data create a movie recommender system using content based filtering and cosine similarity. It uses the features of movies (genre, crew, etc.) to find and suggest similar movies to users.
User: devidutta-learn
Home Page: https://movie-recommender-system-devidutta.streamlit.app/
content-based-filtering,The sample code repository leverages Azure Text Analytics to extract key phrases from the product description as additional product features. And perform text relationship analysis with TF-IDF vectorization and Cosine Similarity for product recommendation.
User: easonlai
content-based-filtering,A recommendation system for books. Built by following two filtering methods that are Collaborative Filtering and Content Based Filtering. Algorithms used are KNN, Pearson Correlation, and TF-IDF. Every dataset used can be easily found in the data folder of the respository.
Organization: gndec-minor-project-kgj
Home Page: https://book-recommendation-system.netlify.app/
content-based-filtering,Recommendation System for Amazon Alexa E-Commerce Application
User: hridayns
content-based-filtering,Movie recommendation app using content-based filtering. Data provided by TMDb.
User: iamrajatroy
content-based-filtering,Proyek akhir recommendation system untuk membangun model machine learning yang dapat memberi top-N anime rekomendasi
User: irlll
content-based-filtering,Reference repository for the O-Horizon Recommendation Engine featured in Neo4j Graphversation Episode 2
User: joffinjoy
Home Page: https://www.youtube.com/watch?v=SoU-hrfZ14c
content-based-filtering,Creating recommendation system with #project-of-the-week in DataTalks.Club
User: kavya2099
content-based-filtering,Dicoding Submission Machine Learning Terapan
User: maoelan
content-based-filtering,Indonesia Tourism Destination Recommendation System with Content-based Filtering & Collaborative Filtering.
User: mfahmialkautsar
content-based-filtering,A python notebook for building collaborative, content-based, and ml-based recommender systems with Sklearn and Surprise
User: mohsenmahmoodzadeh
content-based-filtering,Flight Booking Ticket (name: CaVi)
User: nguyendevelop
content-based-filtering,WP3 - Recommendation of Prioritized Requirements
Organization: openreqeu
content-based-filtering,DS307.N11 - Hệ Khuyến Nghị
User: phamthe-khdl
content-based-filtering,Code repo of solution of 11th place in Recsys Challenge 2022
User: pm390
content-based-filtering,Developed recommendation pipelines leveraging content-based and collaborative filtering to present top n customer recommendations from user items and customer purchase histories. Alternatively, image similarity recommendations were generated using k means clustering and Neural Networks (NNs) from product images.
User: poojasrini
content-based-filtering,Back End Coding for Final Project for "Implementation of Content-Based Filtering on Books Recommendation Application Using Vector Space Model <Case Studi: UMN Library>"
User: richardoey
Home Page: https://ejournals.umn.ac.id/index.php/TI/article/view/639
content-based-filtering,Recommendation Systems thesis. This repository contains the development of the evaluation of three recommendations system methods: Collaborative Filtering, Content Based and Hybrid.
User: rooom13
content-based-filtering,Movie Recomendation System is a movie recommender system using the TMDB 5000 Movie Dataset on Kaggle. Main goal of this system is to develop essential skills in data handling, exploratory data analysis, and model building
User: sbwho
content-based-filtering,Проект создания рекомендательной системы для библиотеки
User: schatzederwelt
content-based-filtering,A repository for a machine learning project about developing a hybrid movie recommender system.
User: sebastianrokholt
content-based-filtering,3rd Year: 1st - 92. A Novel Context Aware Restaurant Recommender System Using Content-Boosted Collaborative Filtering (CACBCF).
User: shadowbourne
content-based-filtering,The problem I have picked for the project is to design and train an efficient movie recommendation model which will recommend movies to users based on the User interaction matrix which would contain the user details with the movies the users liked and vice versa. Also, I will design another model which will recommend movies based on the context, title, genre, and such other attributes of the movies liked by the user and would recommend similar movies to the user.
User: shazm12
content-based-filtering,Comparison of performance evaluation of the baseline and hybrid recommendation systems using various metrics, to prove that hybrid systems perform better
User: shr1611
Home Page: https://www.kaggle.com/shrutijb/final-lightfm
content-based-filtering,Movie Recommandation System Based on the item profile
User: siniekoo19
content-based-filtering,Recommending movies to user using various Colaborative Filtering and Content Based Filtering.
User: soumyajit4419
Home Page: https://movie-recommender-system.now.sh
content-based-filtering,This project associated with my university for milestone project. A book recommender system using k-means clustering with content based approach from goodreads book dataset.
User: ssabrut
content-based-filtering,Movie recommendation system to find common movie interests among a group of people.
User: sumanthvrao
content-based-filtering,Movie Recommendation System
User: swathiprathaa
content-based-filtering,Final course project for CSE 258 (Fall 2022; Prof. Julian McAuley; UC San Diego)
User: the-utkarshjain
content-based-filtering,in this section will be content recommender systems on movies meta dataset
User: tohid-yousefi
content-based-filtering,Movie Website built on python Django framework; Uses Content Based Predictive Model approach to predict similar movies based on the contents/genres similarities
User: upasanadhameliya
content-based-filtering,Transforming skincare recommendations: our hybrid system combines KNN, CNN, and EfficientNet B0 for personalized advice. Published in IEEE, with 80% validation accuracy and 87.10% training accuracy.
User: vinit714
Home Page: https://ieeexplore.ieee.org/document/10142790
content-based-filtering,recommending recipes with content-based filtering approach
User: yyzz1010
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