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Neural Networks in Big Data and Web Search

Intelligent Systems and Networks Group, Imperial College London, SW7 2AZ London, UK
This article is an extended version of the paper “Will Serrano, The Random Neural Network and Web Search: Survey Paper” presented in Intelligent Systems Conference (2018), 6–7 September 2018, London, UK.
Received: 4 November 2018 / Revised: 24 December 2018 / Accepted: 24 December 2018 / Published: 30 December 2018
(This article belongs to the Special Issue Semantics in the Deep: Semantic Analytics for Big Data)
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Abstract

As digitalization is gradually transforming reality into Big Data, Web search engines and recommender systems are fundamental user experience interfaces to make the generated Big Data within the Web as visible or invisible information to Web users. In addition to the challenge of crawling and indexing information within the enormous size and scale of the Internet, e-commerce customers and general Web users should not stay confident that the products suggested or results displayed are either complete or relevant to their search aspirations due to the commercial background of the search service. The economic priority of Web-related businesses requires a higher rank on Web snippets or product suggestions in order to receive additional customers. On the other hand, web search engine and recommender system revenue is obtained from advertisements and pay-per-click. The essential user experience is the self-assurance that the results provided are relevant and exhaustive. This survey paper presents a review of neural networks in Big Data and web search that covers web search engines, ranking algorithms, citation analysis and recommender systems. The use of artificial intelligence (AI) based on neural networks and deep learning in learning relevance and ranking is also analyzed, including its utilization in Big Data analysis and semantic applications. Finally, the random neural network is presented with its practical applications to reasoning approaches for knowledge extraction. View Full-Text
Keywords: big data; neural networks; ranking algorithms; web search; deep learning; recommender systems big data; neural networks; ranking algorithms; web search; deep learning; recommender systems
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Serrano, W. Neural Networks in Big Data and Web Search. Data 2019, 4, 7.

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