Scholarly: An Academic Search Engine using querying techniques Boolean Retrieval, Phase Retrieval and TF-IDF scoring
Keywords:
Search Engine, h-index, Information retrieval, PageRank, TF-IDF.Abstract
Students often find the need to search for professors based on various criteria such as name, university, research topics, top cited papers and rank them based on factors like citations or h-index. A simple Google search may not allow you to first shortlist professors based on whether they do research in “adversarial machine learning” and then rank them as per the number of citations that they have in the last 5 years. In this paper, a search engine publicly as a web application is proposed that can cater to the needs of students looking for professors to approach for projects, internships or jobs. The search engine allows users to search for professors based on name, university, research areas and paper titles using 3 different retrieval methods and sort the search results based on criteria like h-index, citations in the last 5 years etc.
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