Topic: item-based-recommendation Goto Github
Some thing interesting about item-based-recommendation
Some thing interesting about item-based-recommendation
item-based-recommendation,A dashboard to discover and search for Korean TV series. Built using React, Flask, SCSS, Sklearn and Docker.
User: 1391819
Home Page: https://kdrama-dash.herokuapp.com/
item-based-recommendation,基于ItemCF与Springboot的图书商城系统
User: andrew-cheung-bot
item-based-recommendation,基于ItemCF与Springboot的图书商城系统-前端页面
User: andrew-cheung-bot
item-based-recommendation,A collection of diverse recommendation system projects, spanning collaborative filtering, content-based methods, and hybrid approaches.
User: ankdeshm
item-based-recommendation,A web application to recommend music to users based on machine learning algorithms such as item-based & user-based collaborative filtering and kNN.
User: arsham1024
item-based-recommendation,Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
User: artisan1218
item-based-recommendation,Recommendation System for an Online Beer Company
User: ashutosh27ind
item-based-recommendation,Association Rule Learning, Content Based Recommendation, Item Based Collaborative, Filtering User Based Collaborative Filtering, Model Based Matrix Factorization projects i've done about
User: atakankizilyuce
item-based-recommendation,Created Recommender systems using TMDB movie dataset by leveraging the concepts of Content Based Systems and Collaborative Filtering.
User: balajirvp
item-based-recommendation,Recommendation algorithms
User: cch230
item-based-recommendation,The project's goal is to create diverse recommendation systems that predict user-item ratings
User: danieldacosta
item-based-recommendation,Game Recommendation using Collaborative filtering with K-Nearest Neighbor
User: ddamddi
item-based-recommendation,Item-Based collaborative filtering with KNN algorithm about hotel recommendations
User: diningdsr
item-based-recommendation,Using the MovieLens 20 Million review dataset, this project aims to explore different ways to design, evaluate, and explain recommender systems algorithms. Different item-based and user-based recommender systems are showcased as well as a hybrid algorithm using a modified page-rank algorithm.
User: dominic-sagers
item-based-recommendation,Building a recommendation system and deplying using streamlit
User: gulshank0719
item-based-recommendation,Basic movie recommender system using item based collaborative filtering
User: guptasoumya26
item-based-recommendation,This repo contains many real-world case-studies of machine learning
User: hasanur-rahman
item-based-recommendation,TensorFlow2 Implementation of "Neural Attentive Item Similarity Model for Recommendation"
User: hegongshan
item-based-recommendation,Books recommendation system by collaborative filtering and certain visualization are done on data.
User: ishtym
item-based-recommendation,USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen
User: kayvanshah1
item-based-recommendation,This project developed and optimized a hybrid recommendation system that processes over 450,000 training data points and 142,000 validation data points. The system combines user ratings, merchant details, and user reviews to predict users' ratings for restaurants they have not visited.
User: leiyunin
item-based-recommendation,The assignment comprises two main tasks: implementing LSH to identify similar businesses based on user ratings and developing various collaborative filtering recommendation systems to predict user ratings for businesses.
User: leiyunin
item-based-recommendation,Building a collaborative filtering recommender systems on books dataset
User: mehrabkalantary
item-based-recommendation,Combines user-based and item-based recommendation systems to deliver personalized movie suggestions, utilizing user preferences and film characteristics.
User: mesudepolat
item-based-recommendation,Training of machine learning algorithms in order to produce the best model for average rating predictions of a book.
User: nikola-popov
item-based-recommendation,A book recommendation system made using item-based collaborative filtering
User: nityaverma19
item-based-recommendation,Collaborative project on Content-based Recommendation System Development of NYC Airbnb Open Data.
User: pngo1997
item-based-recommendation,This project aims to build a Book recommendation system using methods such as Model, Collaborative, and Content-based filtering.
User: pradnya1208
item-based-recommendation,Used User-based and Item-based Collaborative Filtering techniques to build a personalized Book Recommendation System
User: prajaktaghumatkar99
item-based-recommendation,Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
User: pratiknabriya
item-based-recommendation,Personalised and popularity-based movie recommendations.
User: riakotti
item-based-recommendation,Recommender system for board games built on data collected from major board game forum, BoardGameGeek.
User: richengo
item-based-recommendation,Project Overview: Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings.
User: risitadas
item-based-recommendation,This repo has an implementation of popular recommendation techniques like user-based and item-based collaborative filtering techniques for recommending books and music.
User: ritik872000
item-based-recommendation,deep learning project
User: shaghayeghjalali96
Home Page: https://iust-deep-learning.github.io/972/
item-based-recommendation,Built a Book Recommendation System by using the Item-based collaborative technique.
User: shalakasaraogi
item-based-recommendation,Recommedation of movies to a user based on user rating data.
User: shubhamchouksey
item-based-recommendation,Recommend books using various machine learning algorithms.
User: skaty5678
item-based-recommendation,TMDB_5000_Movie_recommendation_system is a repository for a hybrid movie recommendation system. Discover personalized movie recommendations based on user preferences and movie features using the TMDB 5000 Movies dataset.
User: spoluan
item-based-recommendation,in this section will be item based recommender on movies and ratings dataset
User: tohid-yousefi
item-based-recommendation, In this section, I will create a item-based recommender on the movie dataset
User: tohid-yousefi
item-based-recommendation,An application that uses the algorithm of user-based collaborative filtering and item-based collaborative filtering to recommend new movies
User: witekha3
item-based-recommendation,Recommender systems
User: y656
item-based-recommendation,In this repository, I implement a recommender system using matrix factorization. Here, two types of RS are implemented. First, use the factorized matrix for user and item. and second, rebuild the Adjacency matrix. both approaches are acceptable and implemented in this repo. To factorized the matrix, funk-svd Algorithm is used. you can find his implementation on this link: https://github.com/gbolmier/funk-svd
User: zahradehghanian97
item-based-recommendation,Projects of thesis codes I helped for some master students.
User: zawlinucsm
item-based-recommendation,This repo contains all files needed for building a recommender system based on 2019 Yelp Challenge Datasets. This is the No.1 solution in USC Viterbi Data Mining Competition.
User: zhiyuzhang803
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