SeekStorm - sub-millisecond full-text search library & multi-tenancy server in Rust

Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy

Tunable full text search engine in JavaScript that: (1) works natively on web apps like Express.js; (2) easy to customize (via BM25) to specific types of documents (e.g. tweets, scientifc journals); (3) is deployable on either the client-side or the server side.

Well-tested implementation of the OkapiBM25 algorithm. Install the npm package!

A file search engine based on modern search engine algorithms and data structures

The project is an extension of the SENT2IMG application, where an attention mechanism is introduced to obtain precise captions and Okapi BM25 algorithm has been utilised to rank the captions.

A two-stage information retrieval model using baseline TF-IDF model and refined BM25.

A search engine which takes keywords as queries and retrieves a ranked list of results

A search engine that takes keyword queries as input and retrieves a ranked list of relevant results as output. It scraps a few thousand pages from one of the seed Wiki pages and uses Elasticsearch for a full-text search engine.

Parse HTML pages. Create inverted index. Search for pages

A basic and intuitive Python module for (Vector Space) IR system. (Focuses on simplicity and understandability)

Content specific search engine with the aim to retrieve movies information given the content of the user's query.

Repository containing the final project for the Information Retrieval course at DSSC Master Degree (UniTS).

Lucene, Retrieval and scoring pages using BM25

Buscador de man pages con modelo vectorial y BM25.

A detailed study on enhancing the working of an Automated Question Generation & Answering system in a real-time environment. Also, the paper gives a glimpse of bringing this system to freeware like WhatsApp.

Ranked document retrieval on a large text corpus.

IR ranking system based on Okapi BM25 and blind feedback