A recommender system to generate museum itineraries applying augmented reality and social-sensor mining techniques

• Abu-Mostafa YS, Lin HT, Magdon-Ismail M (2012) Learning from data: a short course: AMLbook. View Article PubMed/NCBI Google Scholar

• Adu-Poku S (2012) Comparing classification algorithms in data mining. Doctoral dissertation, Central Connecticut State University

• Alexander EP, Alexander M, Decker J (2017) Museums in motion: an introduction to the history and functions of museums. Rowman & Littlefield, Lanham

  Google Scholar 

• Amores M, Arco L, Borroto C (2016) Unsupervised opinion polarity detection based on new lexical resources. Computación y Sistemas 20(2):263–277

  Article  Google Scholar 

• Araújo C, Martini RG, Henriques PR, Almeida JJ (2018) Annotated documents and expanded CIDOC-CRM ontology in the automatic construction of a virtual museum. In: Rocha Á, Reis LP (eds) Developments and advances in intelligent systems and applications. Springer, Cham, pp 91–110

  Chapter  Google Scholar 

• Baraldi L, Paci F, Serra G, Benini L, Cucchiara R (2015) Gesture recognition using wearable vision sensors to enhance visitors’ museum experiences. IEEE Sens J 15(5):2705–2714

  Google Scholar 

• Bello-Orgaz G, Jung JJ, Camacho D (2016) Social big data: recent achievements and new challenges. Inf Fusion 28:45–59

  Article  Google Scholar 

• Bishop CM (2006) Pattern recognition and machine learning. Springer, Berlin

  MATH  Google Scholar 

• Blazquez D, Domenech J (2017) Big data sources and methods for social and economic analyses. Technological forecasting and social change. Elsevier, Amsterdam

  Google Scholar 

• Capuano N, Gaeta A, Guarino G, Miranda S, Tomasiello S (2016) Enhancing augmented reality with cognitive and knowledge perspectives: a case study in museum exhibitions. Behav Inf Technol 35(11):968–979

  Article  Google Scholar 

• Carrozzino M, Bergamasco M (2010) Beyond virtual museums: experiencing immersive virtual reality in real museums. J Cult Heritage 11(4):452–458

  Article  Google Scholar 

• Chianese A, Marulli F, Moscato V, Piccialli F (2013) SmARTweet: a location-based smart application for exhibits and museums. In: 2013 International conference on signal-image technology and internet-based systems (SITIS). IEEE, pp 408–415

• Choi HS, Kim SH (2017) A content service deployment plan for metaverse museum exhibitions—centering on the combination of beacons and HMDs. Int J Inf Manage 37(1):1519–1527

  Article  Google Scholar 

• Dim E, Kuflik T (2015) Automatic detection of social behavior of museum visitor pairs. ACM Trans Interact Intell Syst 4(4):17

  Google Scholar 

• Falk JH, Dierking LD (2000) Learning from museums: visitor experiences and the making of meaning. Altamira Press, Lanham

  Google Scholar 

• Fayyad U, Piatetsky-Shapiro G, Smyth P (1996) The KDD process for extracting useful knowledge from volumes of data. Commun ACM 39(11):27–34

  Article  Google Scholar 

• Gandomi A, Haider M (2015) Beyond the hype: big data concepts, methods, and analytics. Int J Inf Manage 35(2):137–144

  Article  Google Scholar 

• García-Palomares JC, Gutiérrez J, Mínguez C (2015) Identification of tourist hot spots based on social networks: a comparative analysis of European metropolises using photo-sharing services and GIS. Appl Geogr 63:408–417

  Article  Google Scholar 

• Hajmoosaei A, Skoric P (2016) Museum ontology-based metadata. In: 2016 IEEE tenth international conference on semantic computing (ICSC). IEEE, pp 100–103

• Hu Y, Gao S, Janowicz K, Yu B, Li W, Prasad S (2015) Extracting and understanding urban areas of interest using geotagged photos. Comput Environ Urban Syst 54:240–254

  Article  Google Scholar 

• Huang W, Sun M, Li S (2016) A 3D GIS-based interactive registration mechanism for outdoor augmented reality system. Expert Syst Appl 55:48–58

  Article  Google Scholar 

• Javornik A (2016) Augmented reality: research agenda for studying the impact of its media characteristics on consumer behaviour. J Retail Consum Serv 30:252–261

  Article  Google Scholar 

• Jung T, tom Dieck MC, Lee H, Chung N (2016) Effects of virtual reality and augmented reality on visitor experiences in museum. In: Inversini A, Schegg R (eds) Information and communication technologies in tourism 2016. Springer, Cham, pp 621–635

  Chapter  Google Scholar 

• Lara JA, Lizcano D, Martínez MA, Pazos J (2014) Data preparation for KDD through automatic reasoning based on description logic. Inf Syst 44:54–72

  Article  Google Scholar 

• Lindqvist J, Cranshaw J, Wiese J, Hong J, Zimmerman J (2011). I’m the mayor of my house: examining why people use foursquare-a social-driven location sharing application. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 2409–2418

• Lytras MD, Raghavan V, Damiani E (2017) Big data and data analytics research: from metaphors to value space for collective wisdom in human decision making and smart machines. Int J Semant Web Inf Syst 13(1):1–10

  Article  Google Scholar 

• Martini RG, Araújo C, Librelotto GR, Henriques PR (2016) A reduced CRM-compatible form ontology for the virtual Emigration Museum. In: Rocha Á, Correia AM, Adeli H, Reis LP, Teixeira MM (eds) New advances in information systems and technologies. Springer, Cham, pp 401–410

  Chapter  Google Scholar 

• Mata F, Claramunt C (2011) GeoST: geographic, thematic and temporal information retrieval from heterogeneous web data sources. In: Agrawal D, Cruz I, Jensen CS, Ofek E, Tanin E (eds) Web and wireless geographical information systems, pp 5–20

  Chapter  Google Scholar 

• Mata F, Claramunt C, Juarez A (2011) An experimental virtual museum based on augmented reality and navigation. In Proceedings of the 19th ACM SIGSPATIAL international conference on advances in geographic information systems. ACM, pp 497–500

• Mata F, Torres-Ruiz M, Guzmán G, Quintero R, Zagal-Flores R, Moreno-Ibarra M, Loza E (2016) A mobile information system based on crowd-sensed and official crime data for finding safe routes: a case study of Mexico City. Mob Inf Syst 2016:1–11. https://doi.org/10.1155/2016/8068209

  Article  Google Scholar 

• McKercher B (2016) Towards a taxonomy of tourism products. Tour Manag 54:196–208

  Article  Google Scholar 

• Pallud J (2017) Impact of interactive technologies on stimulating learning experiences in a museum. Inf Manag 54(4):465–478

  Article  Google Scholar 

• Papatheodorou A, Rosselló J, Xiao H (2010) Global economic crisis and tourism: consequences and perspectives. J Travel Res 49(1):39–45

  Article  Google Scholar 

• Perkins J (2010) Python text processing with NLTK 2.0 cookbook. Packt Publishing Ltd, Birmingham

  Google Scholar 

• Reyes JA, Montes A, González JG, Pinto DE (2013) Classifying case relations using syntactic, semantic and contextual features. Comput Sist 17(2):263–272

  Google Scholar 

• Sampson A (2012) Comparing classification algorithms in data mining. A Thesis, Central Connecticut State University New Britain, Connecticut

• Styliani S, Fotis L, Kostas K, Petros P (2009) Virtual museums, a survey and some issues for consideration. J Cult Heritage 10(4):520–528

  Article  Google Scholar 

• Su S, Wan C, Hu Y, Cai Z (2016) Characterizing geographical preferences of international tourists and the local influential factors in China using geo-tagged photos on social media. Appl Geogr 73:26–37

  Article  Google Scholar 

• Tan PN (2006) Introduction to data mining. Pearson Education India, Noida

  Google Scholar 

• Visvizi A, Mazzucelli C, Lytras M (2017) Irregular migratory flows: towards an ICTs’ enabled integrated framework for resilient urban systems. J Sci Technol Policy Manag 8(2):227–242

  Article  Google Scholar 

• Waske, B., Benediktsson, J., & Sveinsson, J. (2009). Classifying remote sensing data with support vector machines and imbalanced training data. In: Benediktsson JA, Kittler J, Roli F (eds) Multiple classifier systems, pp 375–384

  Chapter  Google Scholar 

• Younes G, Kahil R, Jallad M, Asmar D, Elhajj I, Turkiyyah G, Al-Harithy H (2017) Virtual and augmented reality for rich interaction with cultural heritage sites: a case study from the Roman Theater at Byblos. Digit Appl Archaeol Cult Heritage 5:1–9

  Google Scholar 

• Zhang C, Liu C, Zhang X, Almpanidis G (2017) An up-to-date comparison of state-of-the-art classification algorithms. Expert Syst Appl 82:128–150

  Article  Google Scholar 

• Zhou X, Xu C, Kimmons B (2015) Detecting tourism destinations using scalable geospatial analysis based on cloud computing platform. Comput Environ Urban Syst 54:144–153

  Article  Google Scholar 

Download references