A Python implementation of the BM25 ranking function.

🦖 A SQL-on-everything Query Engine you can execute over multiple databases and file formats. Query your data, where it lives.

C-Store : A column-oriented DBMS prototype (frozen)

A system for computing the most similar resume vectors given a query job vector. Built using an inverted index and BM25 retrieval model.

A Crawler- based search engine that demonstrates the main features of a search engine (web crawling, indexing, ranking, Phrase Searching, Query Processing and Web Interface)

A Fast Multi-Threaded search engine implemented in Java, supporting Crawling, Indexing, Relevance scoring, trend analysis & in-memory caching

A memory aware and time efficient SQL query parser in Java using jsqlparser.

An application that has a Navigation Drawer placed on both sides (Left & Right) of the screen. The Right Drawer also has a Search View and the menu items on the drawer will be shown according to the user's search query. All menu items are added programmatically and each of their information (title and icon) is parsed from certain XML files. Ther…

Project for the Information Retrieval class with a simple search engine using TF-IDF cosine similarity.

This is a PDF search engine created in C++ as a final project for the CSE2341 Data Structures course at Southern Methodist University.

Simple search system that includes inverted index builder and boolean query processor for information retrieval.

Vector Space based End-to-End Web Retrieval/ Search Engine with self-contained units

A crawler-based search engine, consists of six main components that are crawler, indexer, search index, ranker, query processor, and an Android application for UI support.

Implementation of a Indexer and a Query Processor for a Retrieval System.

Information retrieval, Search Engine, Crawler, Indexer

An inverted index implementation paired with a query processor, both based on the document collection "Passage Ranking Dataset".

Returns Top 10 URL results and corresponding ranking scores for user entered search query.Implements conjunctive as well as disjunctive query processing and uses BM25 as the ranking function.Very Efficient, returns results for conjunctive queries in less than 50ms.

logical query processor for searching tweets in a static corpus