This study stems from the observation of the growing demand, interest and incredible potential offered by Artificial Intelligence and Machine Learning techniques in the fields of content website or ecommerce. In particular, we will study the Content Management System (CMS), a system capable of creating and maintaining websites, forums and applications for customers. These systems have an intrinsic predisposition to provide services based on Machine Learning (ML), thus being able to add to the solutions offered by the most innovative ML systems. These include Sentiment Analysis, the Recommender System and the more innovative Chatbot . Integrating them into a website or web platform very often leads to significantly improved results for the user experience offered to the user. This study aims to analyse the new artificial intelligence techniques and how to implement them in a company. Reporting also a case of Study based on a real agency

Schiaffino, A., Reina, M., Matamoros Aragon, R., Epifania, F., Ruggeri, F., Castrignano, I., et al. (2021). CMS Optimization with Deep Learning Techniques. Intervento presentato a: 1st Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2021) co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2021), Online, originally held in Milan, Italy.

CMS Optimization with Deep Learning Techniques

Matamoros Aragon R.;Epifania F.;Marconi L.
2021

Abstract

This study stems from the observation of the growing demand, interest and incredible potential offered by Artificial Intelligence and Machine Learning techniques in the fields of content website or ecommerce. In particular, we will study the Content Management System (CMS), a system capable of creating and maintaining websites, forums and applications for customers. These systems have an intrinsic predisposition to provide services based on Machine Learning (ML), thus being able to add to the solutions offered by the most innovative ML systems. These include Sentiment Analysis, the Recommender System and the more innovative Chatbot . Integrating them into a website or web platform very often leads to significantly improved results for the user experience offered to the user. This study aims to analyse the new artificial intelligence techniques and how to implement them in a company. Reporting also a case of Study based on a real agency
No
paper
Scientifica
Machine Learning, Content Management Systems, Artificial Intelligence, Sentiment Analysis, Natural Language Processing
English
1st Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2021) co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2021)
Schiaffino, A., Reina, M., Matamoros Aragon, R., Epifania, F., Ruggeri, F., Castrignano, I., et al. (2021). CMS Optimization with Deep Learning Techniques. Intervento presentato a: 1st Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2021) co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2021), Online, originally held in Milan, Italy.
Schiaffino, A; Reina, M; Matamoros Aragon, R; Epifania, F; Ruggeri, F; Castrignano, I; Marconi, L
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/390671
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