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Vertical Result Page Generation for Academic Web Searching: A Summary-Based Approach

Vertical Result Page Generation for Academic Web Searching: A Summary-Based Approach
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Copyright: 2021
Pages: 27
Source title: Result Page Generation for Web Searching: Emerging Research and Opportunities
Source Author(s)/Editor(s): Mostafa Alli (Tsinghua University, China)
DOI: 10.4018/978-1-7998-0961-6.ch005

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Abstract

Vertical search engines are meant for answering a user's web query within a specific domain such as news, media, and academic web searching. One main difference between vertical and horizontal web searching is that in vertical web searching, unlike horizontal web searching, a subset of entire web is engaged. The chapter investigates the state-of-the-art in academic web searching and points out shortcomings in this particular domain. Lastly, the authors aimed to propose a summary-based recommender to respond to a user's query by retrieving and ranking them according to their similarity merits on the basis of papers' summaries. Results of the evaluations revealed the fact that the proposed framework has outperformed the state-of-the-art in different metrics such as unanimous ranks and F1 measures.

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