Rosetta Pagliuca
Stemming and its evaluation in search engines Case of study: Salesforce search engine.
Rel. Paolo Garza. Politecnico di Torino, Master of science program in Computer Engineering, 2021
Abstract
In the last years, due to the increase of the amount of data and size of information collections, Information Retrieval methods have been enhanced and widely studied, in order to assure users satisfaction. Several mechanism have been developed for obtaining easily and quickly the right information. One useful operation for this type of systems is called stemming. It consists in the reduction of the word to its base form. In fact, words present in documents and queries have a large number of morphological variants. Stemming application is the way for linking together words sharing the same base form, increasing the number of documents retrieved by search engines.
This project is developed studying specifically search engine of CRM application Salesforce
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