irecsys / CARSKit
Java-Based Context-aware Recommendation Library
☆126Updated 3 years ago
Alternatives and similar repositories for CARSKit
Users that are interested in CARSKit are comparing it to the libraries listed below
Sorting:
- Java 8 Recommender Systems framework for novelty, diversity and much more☆276Updated 3 years ago
- RiVal recommender system evaluation toolkit☆151Updated 6 years ago
- ☆77Updated 7 years ago
- Java 8 Factorization Machines Library☆27Updated 8 years ago
- Towards A Standardized Tag Recommender Benchmarking Framework☆126Updated last year
- Recommender System Framework☆125Updated 8 years ago
- CoFactor: Regularizing Matrix Factorization with Item Co-occurrence☆164Updated 7 years ago
- ☆17Updated 9 years ago
- Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend item…☆147Updated 9 years ago
- RecSys Challenge 2016: job recommendations☆100Updated 8 years ago
- Bayesian Personalized Ranking☆213Updated 9 years ago
- Java port of the MyMediaLite recommender system library☆48Updated 9 years ago
- Implicit matrix factorization as outlined in http://yifanhu.net/PUB/cf.pdf.☆283Updated 8 years ago
- ☆40Updated 7 years ago
- Samantha - A generic recommender and predictor server☆79Updated 2 years ago
- Collaborative Denoising Auto-Encoder for Top-N Recommender Systems☆111Updated 8 years ago
- FluRS: A Python library for streaming recommendation algorithms☆109Updated 3 years ago
- Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "☆136Updated 7 years ago
- Collaborative Deep Learning for Recommender Systems.☆72Updated 8 years ago
- Solution of RecSys Challenge 2015☆91Updated 8 years ago
- Exposure Matrix Factorization: modeling user exposure in recommendation☆97Updated 9 years ago
- Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018☆343Updated 4 years ago
- Bayesian Personalized Ranking for Spark☆40Updated 7 years ago
- Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf☆160Updated 10 years ago
- A recommender systems development and evaluation package by Mendeley☆568Updated 2 years ago
- recommendation system with python☆311Updated 6 years ago
- Implementation of the Factorizing Personalized Markov Chains for Next-Basket Recommendation☆68Updated 9 years ago
- A Tensorflow based implicit recommender system☆108Updated 5 years ago
- ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic gr…☆240Updated 6 years ago
- Implemented SVD, SVD++ and timeSVD++. Can be used on the Netflix data to make predictions/recommendations.☆16Updated 7 years ago