emerdem / MovieLens-ML-LSTM
Movie Rating Prediction using GloVe Word Embeddings and Deep Learning (LSTM): Use MovieLens dataset to predict movie ratings using tags generated by users with 67% accuracy using an ensemble model of logistic regression that incorporates clustering of word embeddings and LSTM neural network.
☆22Updated 7 years ago
Alternatives and similar repositories for MovieLens-ML-LSTM:
Users that are interested in MovieLens-ML-LSTM are comparing it to the libraries listed below
- The implementation of “A Context-Aware User-Item Representation Learning for Item Recommendation”, Libing Wu, Cong Quan, Chenliang Li, Qi…☆28Updated 2 years ago
- This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations☆107Updated 6 years ago
- The codes of Neural News Recommendation with Attentive Multi-view Learning☆58Updated 4 years ago
- Attentive Group Recommendation☆133Updated 4 years ago
- ☆73Updated 5 years ago
- The source codes for the paper "Neural News Recommendation with Multi-Head Self-Attention".☆51Updated 4 years ago
- ☆101Updated 4 years ago
- Codes repository for RecSys and DeepLearnig, RecSys and ReinForcement learning and Traditioinal RecSys.☆88Updated 5 years ago
- This is our implementation of DeepCoNN☆151Updated 6 years ago
- The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …☆69Updated 6 years ago
- This is our implementation of SAMN: Social Attentional Memory Network☆46Updated 5 years ago
- An Embedding and Mapping framework for Cross-Domain Recommendation.☆46Updated 6 years ago
- SR-GNN增加中文注释(学习版本)☆32Updated last year
- Hierarchical User Profiling for E-commerce RecommenderSystems, WSDM 2020☆46Updated 3 years ago
- A Toolkit for Neural Review-based Recommendation models with Pytorch.☆169Updated 2 years ago
- A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆76Updated 6 years ago
- It's a realization of the algorithm SoRec (Social Recommendation Using Probabilistic Matrix Factorization) which was published in 2008.☆15Updated 4 years ago
- Resources for the paper "NPA: News Recommendation with Personalized Attention"☆47Updated 2 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 6 years ago
- TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings☆21Updated 6 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆92Updated 5 years ago
- ☆51Updated 5 years ago
- ☆133Updated 7 years ago
- Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python☆50Updated 7 years ago
- Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"☆32Updated 4 years ago
- A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF☆45Updated 4 years ago
- implementation for the paper "FISM: Factored Item Similarity Models for Top-N Recommender Systems" by Tensorflow 1.2☆22Updated 7 years ago
- 推荐系统---实验+复现+创新☆49Updated last year
- algorithms about recommender systems:probabilistic matrix factorization☆25Updated 7 years ago
- Sequential Recommender System based on Hierarchical Attention Network☆70Updated 6 years ago