Metadata-Version: 2.1
Name: rater
Version: 0.1.1
Summary: rater
Home-page: https://github.com/shibing624/rater
Author: XuMing
Author-email: xuming624@qq.com
License: Apache License 2.0
Description: # rater
        
        **rater** is a comparative framework for multimodal recommender systems. It was developed to facilitate the designing, comparing, and sharing of recommendation models.
        
        ## Feature
        ####
        
        
        ## Data
        
        
        1. ml-1m: http://files.grouplens.org/datasets/movielens/ml-1m.zip
        2. delicious-2k: http://files.grouplens.org/datasets/hetrec2011/hetrec2011-delicious-2k.zip
        3. lastfm-dataset-360K: http://mtg.upf.edu/static/datasets/last.fm/lastfm-dataset-360K.tar.gz
        4. slashdot: http://snap.stanford.edu/data/soc-Slashdot0902.txt.gz
        5. epinions: http://snap.stanford.edu/data/soc-Epinions1.txt.gz
        6. ml-100k: http://files.grouplens.org/datasets/movielens/ml-100k.zip
        7. Criteo(dac full): https://s3-eu-west-1.amazonaws.com/kaggle-display-advertising-challenge-dataset/dac.tar.gz
        8. Criteo(dac sample): http://labs.criteo.com/wp-content/uploads/2015/04/dac_sample.tar.gz
        
        ## Install
        ```
        pip3 install rater
        ```
        
        or
        
        ```
        git clone https://github.com/shibing624/rater.git
        cd rater
        python3 setup.py install
        ```
        
        ## Usage
        
        
        Load the built-in [MovieLens 1M](https://grouplens.org/datasets/movielens/1m/) dataset (will be downloaded if not cached):
        
        
        
        **Output:**
        
        |                          |    MAE |   RMSE |    AUC | NDCG@10 | NDCG@20 | Recall@10 | Recall@20 |  Train (s) | Test (s) |
        | ------------------------ | -----: | -----: | -----: | ------: | ------: | --------: | --------: | ---------: | -------: |
        | [MF](cornac/models/mf)   | 0.7430 | 0.8998 | 0.7445 |  0.0479 |  0.0556 |    0.0352 |    0.0654 |       0.13 |     1.57 |
        | [PMF](cornac/models/pmf) | 0.7534 | 0.9138 | 0.7744 |  0.0617 |  0.0719 |    0.0479 |    0.0880 |       2.18 |     1.64 |
        | [BPR](cornac/models/bpr) |    N/A |    N/A | 0.8695 |  0.0975 |  0.1129 |    0.0891 |    0.1449 |       3.74 |     1.49 |
        
        For more details, please take a look at our [examples](examples).
        
        ## Models
        
        The models supported are listed below. Why don't you join us to lengthen the list?
        
        
        ## Contribute
        
        
        Your contributions at any level of the library are welcome. If you intend to contribute, please:
          - Fork the rater repository to your own account.
          - Make changes and create pull requests.
        
        You can also post bug reports and feature requests in [GitHub issues](https://github.com/shibing624/recommender/issues).
        
        ## License
        
        [Apache License 2.0](LICENSE)
        
        
        
        ## Reference
        
        
        * [Multilayer Perceptron Based Recommendation]
        * [Autoencoder Based Recommendation]
        * [CNN Based Recommendation]
        * [RNN Based Recommendation]
        * [Restricted Boltzmann Machine Based Recommendation]
        * [Neural Attention Based Recommendation]
        * [Neural AutoRegressive Based Recommendation]
        * [Deep Reinforcement Learning for Recommendation]
        * [GAN Based Recommendation]
        * [Deep Hybrid Models for Recommendation]
        * [maciejkula/spotlight](https://github.com/maciejkula/spotlight)
        * [shenweichen/DeepCTR](https://github.com/shenweichen/DeepCTR)
        * [推荐系统实践]
        * [Magic-Bubble/RecommendSystemPractice](https://github.com/Magic-Bubble/RecommendSystemPractice)
Keywords: rater,recommender,Recommendation System,recommendation model
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Natural Language :: Chinese (Simplified)
Classifier: Natural Language :: Chinese (Traditional)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Indexing
Classifier: Topic :: Text Processing :: Linguistic
Description-Content-Type: text/markdown
