(NTNU), [Å]{}lesund, Norway'
author:
- Icaro Cavalcante Dourado
- Salvatore Tabbone
- Ricardo da Silva Torres
bibliography:
- 'bib.bib'
title: 'Multimodal Representation Model based on Graph-Based Rank Fusion'
---

multimodal fusion ,representation model ,graph-based rank fusion ,graph embedding ,rank aggregation ,prediction tasks

Introduction
============

Nowadays, data analysis involving multimedia and heterogeneous content is a hot topic that attracts a lot of attention from not only public and private sectors, but also from academia. The proliferation of digital content and social media is expanding substantially the volume and diversity of available digital content. For the most part, these data is unlabeled, heterogeneous, unstructured, and derived from multiple modalities.

Despite such challenges, such content is of great relevance to support the development of prediction and retrieval models. In particular, multimodal data analysis is required in several scenarios, such as , and of natural disasters such as flooding. Massive digital content has demanded the development of textual, visual, and multimedia descriptors for content-based data analysis. Despite the continuous advance on feature extractors and machine learning techniques, a single descriptor or a single modality is often insufficient to achieve effective prediction results in real case scenarios. Descriptors have specific pros and cons, because each 