Paper Info
Title
Recommendations with Personality Traits Extracted from Text Reviews.
Abstract
It is well known that human reasoning and decision-making are strongly influenced by psychological aspects. Recent works explore the adoption of personality traits to provide personalized recommendations. In this article, we report experimental results obtained with implicit recognition of Big Five personality traits from users' text reviews. Hence, we present a personality-based recommender system with the analysis of the overall users' satisfaction regarding the list of recommended items, showing promising results.
Year
DOI
Venue
2015
10.1007/978-3-319-25017-5_33
Studies in Computational Intelligence
DocType
Volume
ISSN
Conference
616
1860-949X
Citations 
PageRank 
References 
0
0.34
14
Authors
2
Name
Order
Citations
PageRank
Antonella Di Rienzo1173.81
Asana Neishabouri200.34