jw995 / AIML-recommanding-system-project
A general movie recommending system involving python, numpy, sklearn, pandas. Applied feature-based modeling, content-based filtering, collaborative filtering and clustering method. Provided hybrid online/offline movie recommendations for anonymous users, new users (cold-start) and old users.
☆18Updated 7 years ago
Alternatives and similar repositories for AIML-recommanding-system-project:
Users that are interested in AIML-recommanding-system-project are comparing it to the libraries listed below
- Movie Recommendation System using the MovieLens dataset☆19Updated 7 years ago
- Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python☆51Updated 7 years ago
- Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory:…☆190Updated 8 months ago
- Several sequential recommended models implemented by tenosrflow1.x☆119Updated 3 years ago
- SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset☆51Updated 7 years ago
- Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.☆46Updated 5 years ago
- Implemented Content-based filtering, Collaborative filtering and K-Means Clustering on MovieLens Dataset(https://www.kaggle.com/rounakban…☆18Updated 6 years ago
- The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …☆70Updated 6 years ago
- algorithms about recommender systems：probabilistic matrix factorization☆25Updated 7 years ago
- This example uses the lightfm recommender system library to train a hybrid content-based + collaborative algorithm that uses the WARP los…☆9Updated 8 years ago
- Attentive Group Recommendation☆133Updated 4 years ago
- Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".☆140Updated 5 years ago
- Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference☆19Updated 5 years ago
- In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix fa…☆39Updated 7 years ago
- Movie Recommender System with Django.☆73Updated 8 months ago
- Book recommender system using collaborative filtering based on Spark☆381Updated 7 years ago
- uses collaborative and content based filtering techniques☆14Updated 8 years ago
- A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative fi…☆32Updated 6 years ago
- collaborative filtering methods for recommender systems☆62Updated 3 years ago
- Autorec (Autoencoders Meet Collaborative Filtering)☆136Updated 6 years ago
- Premier Experience for Loyal eCommerce Customers☆17Updated 6 years ago
- Group-Buying Recommendation for Social E-Commerce☆46Updated 3 years ago
- TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018☆147Updated 5 years ago
- Recommendation System implementation which includes user based collaborative filtering, item based recommender and content boosted collab…☆19Updated 10 years ago
- Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous informatio…☆189Updated 7 years ago
- Developed a full-stack movie recommendation system with RESTful API to provide clients with 20 recommended movies. Determine the hit rate…☆25Updated 2 years ago
- My Undergraduate Thesis in 2019，Recommendation Algorithm.☆9Updated last year
- ☆101Updated 4 years ago
- building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe t…☆63Updated 8 years ago
- 利用MovieLens数据，Pearson相似度，分别基于User和Item构建一个简单的kNN推荐系统，并给出RMSE评测☆68Updated 6 years ago