就业推荐系统 spark ml 推荐系统 协同过滤 招聘平台 爬虫 毕业设计 大数据技术 招聘信息爬虫 智联招聘

New clustering of Udemy courses and building a recommender system based on course features

My work on the Fundamental Principles in Data Science Master in Univeristat de Barcelona

a simple Recommender System with Python

Create a Recommender System that predicts ratings from 1 to 5.We will implement it using Stacked AutoEncoders model with PyTorch, a highly advanced Deep Learning platform more powerful than Keras.

Jupyter notebook that demonstrates how to make a recommender system with courses in Chulalongkorn unversity

A Neo4j recommender system using the MovieLens dataset

An age and context sensitive movie recommendation system for a group of people spanning various age groups that considers the preferences, past activities, and currently trending content to recommend an age-appropriate movie for all to enjoy

This project develops a hotel recommendation system using content-based filtering. By analyzing hotel features such as room types, amenities, and pricing, it provides personalized suggestions for users. The model uses techniques like TF-IDF and evaluates its performance based on Precision@5, achieving high accuracy in recommendations.

Music recommendation system that leverages the power of machine learning to provide personalized music suggestions based on user preferences. Using a hybrid approach combining K-Means Clustering and Cosine Similarity.

Zee Recommender Systems is a personalized movie recommendation project built using the MovieLens dataset. It implements collaborative filtering, similarity-based models, and matrix factorization to enhance user experience by suggesting movies tailored to individual preferences. Includes EDA, evaluation (RMSE & MAPE) and visualization of embeddings.

A re-do and extension of my capstone recommender system project for my undergraduate.

Food Recommender System - To provide alternative food with same nutritional values