Authors:
Gavina Baralla
1
;
Simona Ibba
1
and
Riccardo Zenoni
2
Affiliations:
1
University of Cagliari, Italy
;
2
Logica Solution srl, Italy
Keyword(s):
Tourism, Complex Network, Sentiment Analysis, Social Semantic Tool, Hotel Revenue Management.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Business Intelligence Applications
;
Data Analytics
;
Data Engineering
;
Data Mining in Electronic Commerce
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Symbolic Systems
;
User Profiling and Recommender Systems
Abstract:
Tourism business has become competitive and dynamic and it is essential to adapt both customers’ satisfaction
and to market’s changing needs. A hotel owner faces three big challenges: he must look to attract new guests
to its location, manage his hotel in the best performant way and has to adapt their online marketing strategy
using several tools such as online travel agencies (OTA) or meta-search engines website or other players from
the sharing economy. All these channels can complicate the hotelier’s life, making the tourism market and
by removing in some areas the prices according to the seasons and the availability. In addition, consumer
generated content (CGCs) influence the market and the revenue management making the web reputation even
more important. This paper presents Aposentu, an innovative tool which integrates all the required components
in order to successfully manage the hotel. The platform will be cloud computing technology based and it will
show a proper d
ashboard with a lot of innovative functionalities. By using semantic tools, sentiment analysis,
complex network metrics, the platform will allow the hoteliers to become more competitive in the tourism
industry. Moreover, administrative complexity will be reduced and that will facilitate the management of
accommodation.
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