Articlegreen2008

Using interest and transition models to predict visitor locations in museums

Fabian Bohnert A · Ingrid Zukerman A · Shlomo Berkovsky · Timothy Baldwin · Liz Sonenberg

51 citations0/0 files storedAI Communications

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Museums and Cultural Heritage Recommender Systems and Techniques Human Mobility and Location-Based Analysis

Abstract

Museums offer vast amounts of information, but a visitor's receptivity and time are typically limited, providing the visitor with the challenge of selecting the (subjectively) interesting exhibits to view within the available time. Mobile, electronic

Citations in this library

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References

2007Adaptive, intelligent presentation of information for the museum visitor in PEACH

Cited by

2018A survey on developing personalized content services in museums 2012Analysis and Prediction of Museum Visitors’ Behavioral Pattern Types 2018Modeling Interdependent and Periodic Real-World Action Sequences 2013Inference of Viewed Exhibits in a Metaverse Museum 2014iMuseumA: An Agent-Based Context-Aware Intelligent Museum System 2020Path prediction in IoT systems through Markov Chain algorithm 2012Ontology-based Mobile Smart Museums Service: Approach for Small & Medium Museums 2019Lessons learned from longitudinal modeling of mobile-equipped visitors in a complex museum

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