Name: Optimization of the search engine ElasticSearch
Creator: Coviaux, Quentin
Keywords: Data Analysis, ETL, Anàlisi de dades, data transformation, Elasticsearch, :Informàtica [Àrees temàtiques de la UPC], data analysis, relevance tuning, Àrees temàtiques de la UPC::Informàtica, TFIDF

descriptionPublicationkeyboard_double_arrow_right Master thesis 01 Jan 2019 English Publisher:Universitat Politècnica de Catalunya

Authors: Coviaux, Quentin;

handle: 2117/131346

Optimization of the search engine ElasticSearch

- Summary
- Subjects
- Metrics

Abstract

This thesis will present the work done in the Search on Demand team at Orange. It will present the optimization of the search engine Elasticsearch, the ways to bring data into it with the mean of an ETL and how relevance can be tuned using Lucene's inverted indices.

Related Organizations

Keywords

Data Analysis, ETL, Anàlisi de dades, data transformation, Elasticsearch, :Informàtica [Àrees temàtiques de la UPC], data analysis, relevance tuning, Àrees temàtiques de la UPC::Informàtica, TFIDF

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Usage byUsageCounts

visibility	views	77
download	downloads	328

77
views
328
downloads
Powered by

Found an issue? Give us feedback

visibility

download

Average

328

Green