Improving the Utility of Web Surfing Using AI Techniques
DOI:
https://doi.org/10.54060/jmss.v3i1.43Keywords:
Artificial intelligence, web browsing, machine learningcontent filtering, collaborative filteringAbstract
This paper aims to improve web surfing security and utility by leveraging artificial intelligence (AI) and machine learning (ML) algorithms. A more personalized, efficient, and secure online experience is achieved through improving the utility and security of web browsing. Web browsing has become an integral part of our daily lives in the digital age. Users often face information overload, irrelevant content, security threats, and privacy concerns. AI and machine learning are used in the proposed system to refine web browsing. A web browsing utility that uses user preferences, interests, and browsing behavior to provide personalized recommendations, filter out irrelevant content, and enhance overall utility is the objective of this paper.
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Copyright (c) 2023 Harsh Deep Keshari, Dr. Sheenu Rizvi
This work is licensed under a Creative Commons Attribution 4.0 International License.
