A collection of algorithms for querying a set of documents and returning the ones most relevant to the query.

The algorithms that have been implemented are:

• Vector Space Model
• Best Match 25
• Unigram Language Model using Jelinek Mercer Smoothing

If you want to be sure you're getting the newest version, you can install it directly from github

pip install git+ssh:https://[email protected]/hrwx/RetrievalModels.git

The algorithms were implemented primarily to run evaluations using the TREC Cranfield collection. The TREC evaluation can be run from the evaluate.py file.