An information retrival system for Persian language.

Performs tokenization, stemming, lemmatization, index creation, index compression and ranked retrieval of Cranfield documents

Implementation of Vector Space Model using TF-IDF and Cosine Similarity

Course Project of Information Retrieval.

SPIMI Ranked Retrieval Implementation and API

This is a project that uses Information Retrieval concepts to develop a Search-as-a-Service Platform

Ranked Information Retrieval: an indexation and ranked retrieval system for textual information.

Wikimedia (enwiki) search engine built on inverted index and tf-idf ranked retrieval

Implementing a search engine using Elastic-Search

Final project of "Information Retrieval Systems" course

A Simple Vector Space Model implementation for searching (some of) Donald Trump's speeches.

A simple search engine built using Python 3.11 that implements TF-IDF weighting, page ranking, and cosine vector similarity, and utilizes NLTK libraries for tokenization and stemming.

An Information retrieval system for Persian news with ranked retrieval of documents according to relevance to the query.

TTDS 2022/23. Course page: https://www.inf.ed.ac.uk/teaching/courses/tts/

An implementation for vector space models used in Information Retrieval for ranked retrieval. Uses TF, IDF, and normalizing on a textual dataset, mostly corpus from novels.

ltc.lnn weighting for computing cosine similarity in python

Foundations of Information Retrieval