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A Novel Hybrid Recommender System for the Tourism Domain

In this paper, we develop a novel hybrid recommender system for the tourism domain, which combines <i>(a)</i> a Bayesian preferences elicitation component which operates by asking the user to rate generic images (corresponding to generic types of POIs) in order to build a user model and <i>(b)</i> a...

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Autori principali: Georgios Chalkiadakis, Ioannis Ziogas, Michail Koutsmanis, Errikos Streviniotis, Costas Panagiotakis, Harris Papadakis
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2023-04-01
Serie:Algorithms
Soggetti:
hybrid recommender systems
Bayesian recommenders
content-based recommendations
personalized recommendations
tourism recommenders
semantic similarity measures
Accesso online:https://www.mdpi.com/1999-4893/16/4/215
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