Context-Aware Cultural Heritage Environments

2011 ◽  
pp. 241-258 ◽  
Author(s):  
Eleni Christopoulou ◽  
John Garofalakis
Keyword(s):  
Cultural Heritage ◽  
Mobile Applications ◽  
State Of The Art ◽  
Effective Interaction ◽  
Archaeological Sites ◽  
Cultural Environment ◽  
Context Aware

Cultural heritage environments, like museums, archaeological sites and cultural heritage cities, have gathered and preserved artefacts and relevant content for years. Today’s state of the art technology allows the shift from traditional exhibitions to ones with reinforced interaction among the cultural heritage environment and the visitor. For example, mobile applications have proved to be suitable to support such new forms of interaction. Effective interaction exploits information both from the cultural environment, the visitor, and the broader context in which they occur. The aim of this chapter is to present the value of context in applications designed for cultural heritage environments and to demonstrate an infrastructure that effectively exploits it.

Enhanced context-aware recommendation using topic modeling and particle swarm optimization

2021 ◽  
pp. 1-16
Author(s):  
Ibtissem Gasmi ◽  
Mohamed Walid Azizi ◽  
Hassina Seridi-Bouchelaghem ◽  
Nabiha Azizi ◽  
Samir Brahim Belhaouari
Keyword(s):  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
State Of The Art ◽  
Weighting Function ◽  
Contextual Factors ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Pso Algorithm ◽  
Context Aware ◽  
Proposed Model

Context-Aware Recommender System (CARS) suggests more relevant services by adapting them to the user’s specific context situation. Nevertheless, the use of many contextual factors can increase data sparsity while few context parameters fail to introduce the contextual effects in recommendations. Moreover, several CARSs are based on similarity algorithms, such as cosine and Pearson correlation coefficients. These methods are not very effective in the sparse datasets. This paper presents a context-aware model to integrate contextual factors into prediction process when there are insufficient co-rated items. The proposed algorithm uses Latent Dirichlet Allocation (LDA) to learn the latent interests of users from the textual descriptions of items. Then, it integrates both the explicit contextual factors and their degree of importance in the prediction process by introducing a weighting function. Indeed, the PSO algorithm is employed to learn and optimize weights of these features. The results on the Movielens 1 M dataset show that the proposed model can achieve an F-measure of 45.51% with precision as 68.64%. Furthermore, the enhancement in MAE and RMSE can respectively reach 41.63% and 39.69% compared with the state-of-the-art techniques.

scholarly journals Context-aware recommender systems and cultural heritage: a survey

2021 ◽  
Author(s):  
Mario Casillo ◽  
Francesco Colace ◽  
Dajana Conte ◽  
Marco Lombardi ◽  
Domenico Santaniello ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Recommender Systems ◽  
Context Awareness ◽  
Technological Development ◽  
Context Aware ◽  
Human Beings ◽  
Context Analysis ◽  
Analysis Techniques ◽  
The Right ◽  
Technological Improvements

AbstractIn the Big Data era, every sector has adapted to technological development to service the vast amount of information available. In this way, each field has benefited from technological improvements over the years. The cultural and artistic field was no exception, and several studies contributed to the aim of the interaction between human beings and artistic-cultural heritage. In this scenario, systems able to analyze the current situation and recommend the right services play a crucial role. In particular, in the Recommender Systems field, Context-Awareness helps to improve the recommendations provided. This article aims to present a general overview of the introduction of Context analysis techniques in Recommender Systems and discuss some challenging applications to the Cultural Heritage field.

App2Vec: Context-Aware Application Usage Prediction

2021 ◽  
Vol 15 (6) ◽  
pp. 1-21
Author(s):  
Huandong Wang ◽  
Yong Li ◽  
Mu Du ◽  
Zhenhui Li ◽  
Depeng Jin
Keyword(s):  
Dirichlet Process ◽  
Service Providers ◽  
State Of The Art ◽  
Representation Learning ◽  
Context Aware ◽  
Challenging Problem ◽  
Performance Gap ◽  
Bayesian Mixture Model ◽  
Bayesian Mixture ◽  
Spatio Temporal

Both app developers and service providers have strong motivations to understand when and where certain apps are used by users. However, it has been a challenging problem due to the highly skewed and noisy app usage data. Moreover, apps are regarded as independent items in existing studies, which fail to capture the hidden semantics in app usage traces. In this article, we propose App2Vec, a powerful representation learning model to learn the semantic embedding of apps with the consideration of spatio-temporal context. Based on the obtained semantic embeddings, we develop a probabilistic model based on the Bayesian mixture model and Dirichlet process to capture when , where , and what semantics of apps are used to predict the future usage. We evaluate our model using two different app usage datasets, which involve over 1.7 million users and 2,000+ apps. Evaluation results show that our proposed App2Vec algorithm outperforms the state-of-the-art algorithms in app usage prediction with a performance gap of over 17.0%.

Coptic Historiography in the Fātimid, Ayyubid and Early Mamluk Periods'

1996 ◽  
Vol 2 (1) ◽  
pp. 67-98 ◽  
Author(s):  
Johannes Den Heijer
Keyword(s):  
Cultural Heritage ◽  
Thirteenth Century ◽  
Cultural Environment ◽  
Biographical Data ◽  
The Third

AbstractThis article intends to give a brief overview of Arabic historiographical works compiled by Coptic authors between the eleventh and thirteenth centuries. Each section of the paper deals with various aspects of one particular text. Within each section, an account is given first of the structure of the composition of the text. This is followed by a short outline of the biographical data on the author or compiler, whenever available. The aim of this sub-section is to characterize the author in terms of his social and confessional position and more particularly to try to find out to what extent he may have been subject to influences from the adjacent (Muslim, Jewish, Melkite) communities. In the third sub-section, the sources, in as far as these have been identified in previous studies, are reviewed and presented in such a way as to indicate to what degree the compiler made use of material originating from confessional groups other than his own Coptic tradition. Conversely, the fourth and last sub-section on each text, contains remarks on the later impact and reception of the text, both within and outside Coptic readership itself. In the concluding section, it is argued that this analysis, despite the manifold uncertainties it cannot solve immediately, suggests a development that moves from a horizon limited to the cultural heritage of the traditions of the Coptic community towards the much more cosmopolitan or universalist cultural environment of the "Coptic Renaissance" of the thirteenth century.

Ubiquitous Attentiveness – Enabling Context-Aware Mobile Applications and Services

2003 ◽  
pp. 76-87 ◽  
Author(s):  
Herma van Kranenburg ◽  
Alfons Salden ◽  
Henk Eertink ◽  
Ronald van Eijk ◽  
Johan de Heer
Keyword(s):  
Mobile Applications ◽  
Context Aware

The micropolitics of public archaeology: Working with the ejido in Michoacán, Mexico

2017 ◽  
Vol 17 (3) ◽  
pp. 326-348 ◽  
Author(s):  
Anna S Cohen ◽  
Rodrigo Solinis-Casparius
Keyword(s):  
Cultural Heritage ◽  
Interpersonal Relations ◽  
Policy Science ◽  
Heritage Management ◽  
Political Theater ◽  
Archaeological Sites ◽  
Cultural Patrimony ◽  
Western Mexico ◽  
Local Practices

Approximately 90% of Mexican archaeological sites are on communal ejido lands and yet the Mexican Constitution stipulates that all cultural heritage is the property of the federal government. Considering this disconnect between federal and local practices, how can archaeologists work with ejido communities to help preserve cultural patrimony? This article explores the micropolitics associated with archaeological fieldwork on communal ejido lands in Western Mexico. We show how long-standing practices based on local histories, community political theater, and interpersonal relations shape fieldwork and cultural conservation initiatives in important and unintended ways. In our study near the site of Angamuco, Michoacán, we draw upon ethnographic and archival research and outreach projects over five field seasons, and address the tensions that emerge when informal micropolitical and formal top–down sociopolitical practices interface. We show how aspects of a policy science approach are appropriate for long-term community-supported archaeology and cultural heritage management.

scholarly journals Reseña CROSSCULT. Empowering Reuse of Digital Cultural Heritage in Context-Aware Crosscuts of European History

2019 ◽  
Vol 3 ◽  
Author(s):  
Lidia Bocanegra Barbecho
Keyword(s):  
Cultural Heritage ◽  
Science And Technology ◽  
European History ◽  
Context Aware ◽  
Digital Cultural Heritage

LYKOURENTZOU, Ioanna, NAUDET, Yannick, VANDENABEELE, Luc, LÓPEZ NORES, Martín, VASSILAKIS, Costas, BIKAKIS, Antonis, SOLANO, Jaime, GIANNAKOPOULOS, Giorgios, VASILAKAKI, Evgenia, PAZOS ARIAS, José Juan. CROSSCULT. Empowering Reuse of Digital Cultural Heritage in Context-Aware Crosscuts of European History. Coord. Luxembourg Institute of Science and Technology, 2016-2019.https://www.crosscult.eu/https://cordis.europa.eu/project/rcn/200492/factsheet/en

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