elasticsearch-learning-to-rank
analysis-pinyin
| elasticsearch-learning-to-rank | analysis-pinyin | |
|---|---|---|
| 2 | 2 | |
| 1,462 | 2,861 | |
| 0.2% | 0.9% | |
| 5.4 | 6.5 | |
| 4 days ago | about 1 month ago | |
| Java | Java | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
elasticsearch-learning-to-rank
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New free tool that uses fine-tuned BERT model to surface answers from research papers
I worked on a learning-to-rank problem at a previous job (which unfortunately never got deployed womp, womp). This was early days, so at the time I was looking at using LambdaMART with solr or elasticsearch for reranking with a Bayesian click model to get pseudo-labels for relevance.
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Add explain text for custom Elasticsearch plugin
I'm modifying learning to rank plugin to add some custom BM25 algo and I want to add explain like that, but I can't find documents/tutorial that clearly show how it is done.
analysis-pinyin
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curl then unzip failed with <(())
curl -L -s https://github.com/medcl/elasticsearch-analysis-pinyin/archive/refs/tags/v8.1.2.tar.gz -o - | tar -xz -C /usr/share/elasticsearch/plugins
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