A simple text-based search engine implemented with hashing algorithms. This project strictly uses OOP principles. The techniques include: Abstract classes, polymorphism and generic classes.

The project consists of four separate assignments that incrementally build a web browser with a search engine. Each assignment adds to or improves on functionality implemented by the previous part by applying new algorithms and using data structures that are presented in class.

A hashing based search engine built in Java utilizing separate chaining - jaredt17/HashingBasedSearchEngine

While creating a full-scale search engine like Google is a massive undertaking, you can build a basic search engine in Java to search through a collection of documents or web pages. In this section, we will guide through the process of building a simple search engine in Java.

"The way search engines work is through Hash-indexing. All you have to do to search is Hash-it-up!" Or something along those lines. It might be wise to look up HashMap or HashSet to see how you can locate certain values through indexing, though I've never tried this class myself.

Dec 30, 2023 · In this article, we'll be creating our very own search engine called Orbit in Java from scratch. Yes, you heard it right; we'll be creating an application that will take a webpage URL similar to what Google webmaster does, will crawl it and will index it.

Dec 27, 2013 · Lucene is the canonical Java search engine. For adding documents from a variety of sources, take a look at Apache Tika and for a full-blown system with service/web interfaces, solr.

In this tutorial, we will explore the process of building a text-based search engine using Java. We will implement basic search functionalities by leveraging Natural Language Processing (NLP) techniques.

A simple search engine implemented in Java. It allows the user to specify an input file of parsed HTML and will allow searches for specific urls. Furthermore it allows users to crawl websites up to a specific depth and then search for specific words. It also supports simple boolean operations. AND for and search on two words.

Jan 8, 2024 · The Locality-Sensitive Hashing (LSH) algorithm hashes input items so that similar items have a high probability of being mapped to the same buckets. In this quick article, we …