An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
The role of adaptive hypermedia in a context-aware tourist GUIDE
Communications of the ACM - The Adaptive Web
Ontology-Based User Modeling in an Augmented Audio Reality System for Museums
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
Introduction to the special issue on statistical and probabilistic methods for user modeling
User Modeling and User-Adapted Interaction
Adaptive, intelligent presentation of information for the museum visitor in PEACH
User Modeling and User-Adapted Interaction
Using interest and transition models to predict visitor locations in museums
AI Communications - Recommender Systems
Spatial processes for recommender systems
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
CHIP demonstrator: semantics-driven recommendations and museum tour generation
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Using Keyword-Based Approaches to Adaptively Predict Interest in Museum Exhibits
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Off the beaten track: a mobile field study exploring the long tail of tourist recommendations
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
Using ontological and document similarity to estimate museum exhibit relatedness
Journal on Computing and Cultural Heritage (JOCCH)
A user-and item-aware weighting scheme for combining predictive user models
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Personalised pathway prediction
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Utilising user texts to improve recommendations
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Realistic simulation of museum visitors' movements as a tool for assessing sensor-based user models
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
GECKOmmender: personalised theme and tour recommendations for museums
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
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The vast amount of information presented in museums is often overwhelming to a visitor, making it difficult to select personally interesting exhibits. Advances in mobile computing and user modelling have made possible technology that can assist a visitor in this selection process. Such a technology can (1) utilise non-intrusive observations of a visitor's behaviour in the physical space to learn a model of his/her interests, and (2) generate personalised exhibit recommendations based on interest predictions. Due to the physicality of the domain, datasets of visitors' behaviour (i.e. visitor pathways) are difficult to obtain prior to deploying mobile technology in a museum. However, they are necessary to assess different modelling techniques. This paper reports on a methodology that we used to conduct a manual data collection, and describes the dataset we obtained. We also present two collaborative models for predicting a visitor's viewing times of unseen exhibits from his/her viewing times at visited exhibits (viewing time is indicative of interest), and evaluate our models with the dataset we collected. Both models achieve a higher predictive accuracy than a non-personalised baseline.