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An Emotion-Based Search Engine

  • Yazid BenazzouzEmail author
  • Rachid Boudour
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1069)

Abstract

With the advancement in computing hardware and cloud services, many applications, imagined in the past and rejected as complicated or unfeasible, are becoming achievable. Artificial intelligence was able via new computing architecture to overcome big time consuming and insufficient data storage which permitted rapid models development and real-time applications. In this paper, we show via a challenging application how artificial intelligence can change the way we interact with our devices. Particularly, the paper attempts to develop an emotion-based search engine. In this sense, the user emotional features are used to select best Internet search results or to adapt them to user emotion. In this case, many scenarios are possible such as preventing bad influence of the search results on the user emotion. The idea presented in this solution can be adapted to other applications and brings new research challenges.

Keywords

Google Artificial intelligence Web engineering Emotion inference Search engine 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Embedded Systems Laboratory, Computer Science DepartmentBadji Mokhtar UniversityAnnabaAlgeria

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