# Wikibook-Bot - Automatic Generation of a Wikipedia Book

## TL;DR

Wikibook-Bot is a machine learning system that automatically creates high-quality Wikibooks by classifying, clustering, and ordering Wikipedia articles based on user-defined concepts, outperforming manual creation.

## Contribution

It introduces a novel machine learning approach with specific features for automatic Wikibook generation, covering classification, clustering, and ordering tasks.

## Key findings

- High accuracy in classifying articles into Wikibooks
- Effective clustering of articles into coherent chapters
- Successful ordering of articles and chapters with significant results

## Abstract

A Wikipedia book (known as Wikibook) is a collection of Wikipedia articles on a particular theme that is organized as a book. We propose Wikibook-Bot, a machine-learning based technique for automatically generating high quality Wikibooks based on a concept provided by the user. In order to create the Wikibook we apply machine learning algorithms to the different steps of the proposed technique. Firs, we need to decide whether an article belongs to a specific Wikibook - a classification task. Then, we need to divide the chosen articles into chapters - a clustering task - and finally, we deal with the ordering task which includes two subtasks: order articles within each chapter and order the chapters themselves. We propose a set of structural, text-based and unique Wikipedia features, and we show that by using these features, a machine learning classifier can successfully address the above challenges. The predictive performance of the proposed method is evaluated by comparing the auto-generated books to existing 407 Wikibooks which were manually generated by humans. For all the tasks we were able to obtain high and statistically significant results when comparing the Wikibook-bot books to books that were manually generated by Wikipedia contributors