caser

Recommendation model

An implementation of a deep learning model for sequential recommendation based on user-item interactions.

A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

GitHub

76 stars
4 watching
23 forks
Language: Matlab
last commit: over 6 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
caserec/datasets-for-recommender-systems A repository of public datasets for building recommender systems. 987
alibaba/easyrec A framework for building and deploying scalable recommendation algorithms 1,784
deepgraphlearning/recommendersystems A comprehensive library of algorithms and techniques for building recommender systems 1,102
coreylynch/pyfm A Python implementation of a factorization machine algorithm for recommendation systems. 922
preferredai/cornac A tool for building and comparing multimodal recommender systems using various machine learning algorithms. 884
mauriziofd/recsys2019_deeplearning_evaluation An evaluation framework and repository of deep learning algorithms for recommendation systems 983
ghamrouni/recommender A C-based system for predicting product recommendations using collaborative filtering algorithms 264
fabprezja/keras-gpt-copilot An LLM-based tool to assist deep learning model development 28
yihong-chen/neural-collaborative-filtering An implementation of a deep learning-based framework for making recommendations using neural networks and matrix factorization. 480
jfkirk/tensorrec A Python framework for building recommendation systems using TensorFlow. 1,277
rlouf/birdland A collaborative filtering algorithm for building personalized recommendation systems 46
tensorflow/recommenders A software framework for building recommender systems using machine learning and deep learning techniques. 1,849
greenwolf-nsk/yandex-cup-2022-recsys A recommender system built using multiple candidate selection and ranking methods for predicting next item likes in a streaming data environment. 54
bupt-gamma/multi-component-graph-convolutional-collaborative-filtering A deep learning framework for collaborative filtering and graph-based recommender systems 60
deepgram/kur A system for quickly building and applying state-of-the-art deep learning models to new problems 817