Authors: Graha Noviana, Agus Rahayu, Ratih Hurriyati, Lili A. D. I. Wibowo, Erwin Yulianto, Rizky Jumansyah
Abstract
Research still does not frequently use the concept of value creation through the application of big data analytics. Additionally, the internet serves as a limitless supply of knowledge that comes from different people all over the world and is delivered in a variety of ways, including text documents, photos, audio files, and video. Search engine is a tool used to find different types of information on the internet. The issue that frequently occurs when looking for information online is that the search results for the intended subject are frequently unrelated to the terms entered. In order to increase the relevance of the data obtained from the search results, the goal of this study is to implement the query expansion approach, which involves reformulating the initial query in order to add several phrases utilizing a thesaurus. The waterfall model was used in conjunction with the Software Development Life Cycle (SDLC) in the research. The results showed that the creation of a document search engine based on an information retrieval system was able to enhance data relevance and the standard of document search outcomes in big data analysis. The recall results are higher due to the usage of query expansion, which allowed for the retrieval of more pertinent documents. It is clear that by adopting this technique, the relevancy of the data in the search system can be improved. © School of Engineering, Taylor’s University.
Author keywords
Big data analytic; Information retrieval; Query expansion; Thesaurus; Value creation strategy
This article can be accessed at https://www.scopus.com/pages/publications/85147674328

