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2019 | OriginalPaper | Chapter

Modeling a Multi-agent Tourism Recommender System

Authors : Valerio Bellandi, Paolo Ceravolo, Eugenio Tacchini

Published in: On the Move to Meaningful Internet Systems: OTM 2019 Conferences

Publisher: Springer International Publishing

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Abstract

Today’s design of e-services for tourists means dealing with a big quantity of information and metadata that designers should be able to leverage to generate perceived values for users. In this paper we revise the design choices followed to implement a recommender system, highlighting the data processing and architectural point of view, and finally we propose a multi-agent recommender system.

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Footnotes
1
This represents the distance between two activities, not the similarity, but we can still easily get, for each activity, the most similar ones by sorting according to the distance, ascending.
 
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Metadata
Title
Modeling a Multi-agent Tourism Recommender System
Authors
Valerio Bellandi
Paolo Ceravolo
Eugenio Tacchini
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-33246-4_46

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