Information Retrieval course

at Université Pierre et Marie Curie (Paris VI)

This repo hosts the various search engines developped for the "Information Retrieval" course.

It has 3 parts:

1. An accurate text search engine

This search engine finds the most relevant scientific article (from 3000 in our database) for a query.

Example: Query: "Number-theoretic algorithms, especially involving prime number series, sieves, and Chinese Remainder theorem".

Article results:

• A Prime Number Generator Using The Treesort Principle
• An Improved Algorithm to Produce Complex Primes
• Greatest Common Divisor of n Integers and Multipliers

2. An image search engine

Find the most relevant images with semantic analysis (for a query such as "tree frog", it's better to return images of Wood Frogs than images of guitars).

3. A diverse text search engine

This search engine uses diversity methods to cover all the topics for a query. This search engine avoids redundancy and doesn't return the same image. It returns various diverse images that suit the need of the user.

Example for the query "strike"