ranking VS rank_bm25

Compare ranking vs rank_bm25 and see what are their differences.

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ranking rank_bm25
1 1
2,714 848
0.1% -
6.3 0.0
about 2 months ago 10 months ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

ranking

Posts with mentions or reviews of ranking. We have used some of these posts to build our list of alternatives and similar projects.
  • [D] learning to Rank
    1 project | /r/MachineLearning | 21 Feb 2021
    There are many different models and loss functions used for ranking (Tensorflow Ranking offers a bunch, probably also available for Jax / Pytorch / etc., or easily convertible).

rank_bm25

Posts with mentions or reviews of rank_bm25. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-17.

What are some alternatives?

When comparing ranking and rank_bm25 you can also consider the following projects:

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.

lucene - Apache Lucene open-source search software

torchsort - Fast, differentiable sorting and ranking in PyTorch

txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

RecBole - A unified, comprehensive and efficient recommendation library

recommendation-system - Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)

BERT-QE - Code and resources for the paper "BERT-QE: Contextualized Query Expansion for Document Re-ranking".

NumPy - The fundamental package for scientific computing with Python.

recommenders - Best Practices on Recommendation Systems

cherche - Neural Search

spotlight - Deep recommender models using PyTorch.

rexmex - A general purpose recommender metrics library for fair evaluation.