An Innovative Approach for the Evaluation of the Web Page Impact Combining User Experience and Neural Network Score

Alessandro Massaro, Daniele Giannone, Vitangelo Birardi and Angelo Maurizio Galiano
Additional contact information
Alessandro Massaro: Dyrecta Lab, Research Institute, 70014 Conversano, Italy
Daniele Giannone: Dyrecta Lab, Research Institute, 70014 Conversano, Italy
Vitangelo Birardi: Dyrecta Lab, Research Institute, 70014 Conversano, Italy
Angelo Maurizio Galiano: Dyrecta Lab, Research Institute, 70014 Conversano, Italy

Future Internet, 2021, vol. 13, issue 6, 1-21

Abstract: The proposed paper introduces an innovative methodology useful to assign intelligent scores to web pages. The approach is based on the simultaneous use of User eXperience (UX), Artificial Neural Network (ANN), and Long Short-Term Memory (LSTM) algorithms, providing the web page scoring and taking into account outlier conditions to construct the training dataset. Specifically, the UX tool analyses different parameters addressing the score, such as navigation time, number of clicks, and mouse movements for page, finding possible outliers, the ANN are able to predict outliers, and the LSTM processes the web pages tags together with UX and user scores. The final web page score is assigned by the LSTM model corrected by the UX output and improved by the navigation user score. This final score is useful for the designer by suggesting the tags typologies structuring a new web page layout of a specific topic. By using the proposed methodology, the web designer is addressed to allocate contents in the web page layout. The work has been developed within a framework of an industry project oriented on the formulation of an innovative AI interface for web designers.

Keywords: user experience; artificial intelligence; LSTM; ANN; web designer interfaces (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/13/6/145/pdf (application/pdf)
https://www.mdpi.com/1999-5903/13/6/145/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:13:y:2021:i:6:p:145-:d:566186

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().