Metasearch aggregation using linear programming and neural networks
Metasearch aggregation using linear programming and neural networks is a scholarly work, published in 2018 in ''International Journal of Operational Research''. The main subjects of the publication include information retrieval, data mining, artificial intelligence, artificial neural network, search engine, linear programming, relevance, metasearch engine, and computer science. The comparison of the two sets of results shows that neural network-based linear programming model is superior in optimising the relevance of aggregated results.