Abstract
We propose the Random Neural Network with Deep Learning Clusters that emulates the way the brain takes decisions. We apply our model to measure and evaluate Web result relevance by associating each Deep Learning Cluster with a different Web Search Engine; in addition, we include a Deep Learning Cluster to perform as a Management Cluster that decides the final result relevance based on the inputs from the Deep Learning clusters. Our algorithm reorders the Web results obtained from different Web Search Engines after a user introduces a query. We evaluate the performance of the Management Cluster when included as an additional layer to the Deep Learning Clusters. On average; our Management Cluster improves result relevance; its inclusion increments the overall result relevance quality.
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Appendix – List of Queries
Appendix – List of Queries
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Serrano, W., Gelenbe, E. (2018). The Deep Learning Random Neural Network with a Management Cluster. In: Czarnowski, I., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies 2017. IDT 2017. Smart Innovation, Systems and Technologies, vol 73. Springer, Cham. https://doi.org/10.1007/978-3-319-59424-8_17
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DOI: https://doi.org/10.1007/978-3-319-59424-8_17
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