359 skills found · Page 5 of 12
asdkazmi / AI Movies Recommendation System K Means ClusteringThis is repository for a project of AI movies recommendation system based on k-means clustering algorithm.
logicx24 / SubredditRecommendationEngineA recommendation engine for subreddits using the kNN algorithm.
vicegermana / Music Recommendation SystemA music recommendation system developed using collaborative filtering and content-based filtering techniques. This project showcases machine learning and recommendation algorithms.
nikolakopoulos / RecWalkImplementation of the RecWalk recommendation algorithm
unordinaryhobbies / PornhubDatasetAnalysisPornhub Data Analysis and Porn Recommendation Algorithm
RUCDM / TMRNTMRN is the original Theano implementation of the algorithm in "Taxonomy-aware Multi-hop Reasoning Networks for Sequential Recommendation" paper, published at WSDM 2019.
songwo-vx18484646674 / Springboot Smart Teaching Recommendation System基于Springboot的智慧教学平台的系统设计与实现（智慧教学推荐系统），可以进行学习分析和个性化推荐，系统可以根据学生的学习行为和表现进行分析，生成学习分析报告。根据学生的学习情况和需求，系统可以提供个性化的学习推荐和建议，推荐适合的课程和教学资源推荐（根据用户点击量或浏览量推荐）。
vwang0 / Recommender SystemRecommender system
Yeaseen / ML Pattern:trident: Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.
adidottxt / Spotify Music Discoverycreate your own spotify recommendation algorithm 🎧
tonkotsuboy / X Impact CheckerAI agent skill to analyze X (Twitter) posts for viral potential using the actual recommendation algorithm
taramuhamm / Book Recommendation SystemA book recommendation system developed using collaborative filtering techniques. This project showcases machine learning algorithms and personalized book suggestions.
craigpmc / Stock Market Prediction Web App Using Machine Learning And Sentiment AnalysisStock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets **(API keys included in code)**. The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are given for three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices for the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
sciueferrara / Fcf HuaweiUnofficial implementation of the algorithm described in the paper Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System by Muhammad Ammad-ud-din et al.
kaankvrck / KG Enhanced RecommenderDevelop a personalized recommendation system using a Knowledge Graph to model relationships between users, products, and interactions. Utilizing Python, Neo4j, Cypher, and Py2neo, this project aims to enhance user satisfaction through efficient data management and advanced recommendation algorithms.
armughan03 / INDUS An AI Ecommerce Web InnovationIn this project artificial intelligence and machine learning techniques are applied innovatively to an ecommerce website introducing a new perspective to online shopping with artificial agents. This project presents an aspect of negotiating and bargaining online and features a bargain-based e-commerce website, where chatbot act as a shopkeeper and can negotiate the price of the product with a customer and a content-based recommendation system that recommends similar products based on product attributes and description rather than on likings and ratings of customer. The chatbot is developed using deep learning algorithms combined with the natural language processing techniques and recommendation system is developed using natural language processing algorithms. This project is implemented using modern tools and technologies Python, Flask and Machine learning libraries Scikit-Learn and Keras.
ydhuyong / DIN PytorchImplementation based on pytorch for DIN recommendation algorithm
Charleo85 / SeqrecA curator of Sequential Recommendation algorithms
lognorman20 / Spotify RecommenderIn this project, I create a recommendation algorithm to give song recommendations on Spotify.
hand10ryo / PyTorchCMLPyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.
