Data di Pubblicazione:
2021
Abstract:
Inclusive recommender systems should take both user preferences and the compatibility of items with the user into account in order to generate suggestions that can be appreciated and smoothly experienced at the same time. For instance, considering people in the Autism Spectrum Disorder, the sensory features of a place that is potentially interesting to the user are important to predict whether it might make her/him uncomfortable when visiting it. However, information about users’ experience with items can hardly be found in the metadata provided by online geographic sources.
In order to address this issue, we suggest to retrieve it from the consumer feedback collected by location-based services that publish item reviews. This type of feedback represents a sustainable information source because it is supported by people through a continuous reviewing activity. Thus, it deserves special attention as a potential data source. In this paper, we outline how this type of information can be retrieved and we discuss its benefits to Top-N recommendation of Points of Interest.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Recommender Systems, Geographic Information Systems, People with Autism
Elenco autori:
Noemi Mauro, Liliana Ardissono, Stefano Cocomazzi, Federica Cena
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Link al Full Text:
Titolo del libro:
2021 Joint ACM Conference on Intelligent User Interfaces Workshops, ACMIUI-WS 2021
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