Affiliation:
1. University of Electronic Science and Technology of China, China
2. Islamic University in Uganda, Uganda
Abstract
Artificial intelligence (AI) mimics or stimulates human behaviors or thinking to solve specific problems. It has been applied in the analysis of huge datasets and provides reliable outputs without human supervision in various online platforms, for example, information retrieval in search engines, digital assistants, voice assistants, digital marketing, personalized learning, social media, etc. This technology has provided many opportunities and challenges in line with strengthening the authenticity of the information provided via different search engines. This chapter reviews the current pieces of literature about the different AI algorithms used in the most popular metasearch engines and the application of artificial intelligence in these search engine contexts.
Reference68 articles.
1. Achsas, S. (2022). Academic Aggregated Search Approach Based on BERT Language Model. 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), 1–9.
2. Improving web search ranking by incorporating user behavior information
3. Akgun, S., & Greenhow, C. (2021). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 1–10.
4. Alaparthi, S., & Mishra, M. (2020). Bidirectional Encoder Representations from Transformers (BERT): A sentiment analysis odyssey.
5. Amershi, S., Weld, D., Vorvoreanu, M., Fourney, A., Nushi, B., Collisson, P., Suh, J., Iqbal, S., Bennett, P. N., & Inkpen, K. (2019). Guidelines for human-AI interaction. Proceedings of the 2019 Chi Conference on Human Factors in Computing Systems, 1–13. Semantic Scholar.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献