Abstract
The rapid development of the Internet has greatly facilitated people’s work and life, but at the same time, the information overload has also made people feel at a loss in the face of mixed data. The search engine and recommendation system created for this can help users filter and filter what they need. Information, but as people’s requirements for personalized services are getting higher and higher, traditional recommendation methods cannot meet more precise needs. Therefore, this article comprehensively explains the new recommendation system that introduces the concept of the Semantic Web, and introduces its origin, implementation, and finally, the successful application of semantic recommendation system in four different fields is cited.
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Chen, W. (2022). Recommendation System Based on Semantic Web. In: Macintyre, J., Zhao, J., Ma, X. (eds) The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIoT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 98 . Springer, Cham. https://doi.org/10.1007/978-3-030-89511-2_66
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DOI: https://doi.org/10.1007/978-3-030-89511-2_66
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