The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Objectives: Implementation of Elastic search server to create a search engine that helps in searching, retrieving and downloading research papers stored in Django framework database and indexed by Elastic search. Analysis: Elastic Search, a search server based on Lucene can be used to search all types of documents with the help of its scalability and near-real time search. Findings: A web application which queries and searches for relevant research papers, allows users to customize their search and suggest list of research papers related to the initial query. It displays papers’ referenced authors. Item-based recommendations help users find more similar papers. Applications: Fast, Incisive Search against large volumes of data.

Keywords

Django, Elastic Search, Haystack, Lucene, REST.
User