Best Practices on Recommendation Systems
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Updated
Sep 10, 2021 - Python
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Best Practices on Recommendation Systems
A Python implementation of LightFM, a hybrid recommendation algorithm.
LibRec: A Leading Java Library for Recommender Systems, see
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
A unified, comprehensive and efficient recommendation library
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
After running pip install moviebox on a Mac with Python 2.7 I get the following error when trying to run it:
Traceback (most recent call last):
File "/usr/local/bin/moviebox", line 7, in <module>
from moviebox.cli import main
File "/usr/local/lib/python2.7/site-packages/moviebox/cli.py", line 6, in <module>
from .recommender import recommender
File "/usr/local/lib/pyth
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
Versatile End-to-End Recommender System
recommender system tutorial with Python
9 tools for Goodreads.com, for finding people based on the books they’ve read, finding books popular among the people you follow, following new book reviews, etc
Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
基于RFM和决策树模型构建专家推荐系统。融合了RFM模型和决策树模型,结合专业运营人员的业务经营,发掘潜在用户,进行推荐营销召回。
NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
A content-based recommender system for books using the Project Gutenberg text corpus
Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels
Recommendation engine using collaborative filtering and matrix factorization
Recommendation models that use binary rather than floating point operations at prediction time.
Dice.com's relevancy feedback solr plugin created by Simon Hughes (Dice). Contains request handlers for doing MLT style recommendations, conceptual search, semantic search and personalized search
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation
Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
A search and recommender system based on Elasticsearch, Neo4j, Flask, Apache
Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.
Collaborative Filtering NN and CNN based recommender implemented with MXNet
Add a description, image, and links to the recommender topic page so that developers can more easily learn about it.
To associate your repository with the recommender topic, visit your repo's landing page and select "manage topics."
For now only strings are accepted as the
measuresparameter inGridSearchCV,RandomizedSearchCV, andcross_validate. It's thus impossible to use those with measures that take specific parameters as input (e.g. #156 ), or to use custom measures.We should then accept callables in addition to strings.
Each callable should only take the
predictionsparameter. In order to handle measur