@inproceedings{0b4cd5cb1e9a401a86bb78a6546bafb4,
title = "Ranking of Web Search for Best Link Identification by Using Hierarchy of Web Page Content",
abstract = "Due to explosion of online published content, there is an increasing need for search engines to fetch more relevant results with respect to a user query. A lot of work has already been done to improve search results and many algorithms and techniques have been devised. Search engines collect, index and process content in order to answer search queries accurately. In this work we are addressing web search and results presentation in a completely different perspective. Irrespective of how the search engine have ordered the results, we have proposed a technique to identify that which web link is more relevant to the user query amongst returned search results based on content of the page of returned link and its siblings. We have also demonstrated the effectiveness of the proposed technique with the help of experimental implementation and results.",
keywords = "Information Retrieval, Search Results, Term Frequency, Web Search",
author = "Kiyani, \{Faisal Fayyaz\} and Bushra Hamid and Mamoona Humayun and Mohammed Assiri and Jhanjhi, \{N. Z.\}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Advances in Systems Engineering - Proceedings of the 30th International Conference on Systems Engineering, ICSEng 2023 ; Conference date: 22-08-2023 Through 24-08-2023",
year = "2023",
doi = "10.1007/978-3-031-40579-2\_8",
language = "English",
isbn = "9783031405785",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "78--89",
editor = "Henry Selvaraj and Grzegorz Chmaj and Dawid Zydek",
booktitle = "Advances in Systems Engineering - Proceedings of the 30th International Conference on Systems Engineering, ICSEng 2023",
address = "Germany",
}