Please use this identifier to cite or link to this item:
Title: Desarrollo de una taxonomía específica de dominio y aplicación a un motor de búsqueda
Author: Cardoner Álvarez, Victor
Tutor: Bouayad-Agha, Nadjet  
Others: Casas-Roma, Jordi  
Keywords: natural language processing
search engine
Issue Date: 5-Jun-2022
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The main goal of this project is to develop a taxonomy and an apply it to optimize the search engine of an app for mothers and health professionals that facilitates breastfeeding. The app allows mothers to create a profile for them and their babies to keep track of breastfeeding and includes a knowledge database with thousands of articles organized by specific topics that they can check to clarify their doubts. The app also has a search engine by keyword and a chatroom. Users can use the chatroom to send questions to the team of breastfeeding consultants when they don’t find the answer in the articles. The use of NLP models combined with the taxonomy on the searches and questions posted in the chatroom, will improve the accuracy on the search results and answers, and will reduce the time consultants devote to manually answer questions through the chat, which currently is the main bottleneck for scalability. For the definition of the taxonomy, all the knowledge present in the app, all the questions made by the users and the answers received, the most frequently searched concepts and the main topics identified will be used. Once created, an application to validate it will be developed.
Language: Spanish
Appears in Collections:Bachelor thesis, research projects, etc.

Files in This Item:
File Description SizeFormat 
vcardonerTFM0622memoria.pdfMemoria del TFM1,36 MBAdobe PDFThumbnail
View statistics

This item is licensed under aCreative Commons License Creative Commons