Intelligent layer for relational aggregated search based on deep neural networks

摘要

Aggregated Search describes the increasingly common Information Retrieval Paradigm of presenting to the internet user one-result list with information from different documents and media types. In this work, we review some aggregated search related work and present an overview of our proposed idea in which we investigate the problem of relationships between different results coming from different sources using artificial neural networks. This idea allows us to benefit from the advantages of neural networks and especially deep neural networks for clustering and classifying the research results to accurately meet the user's information needs.