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Optimal Route Prediction as a Smart Mobile Application of Gift Ideas

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10350))

Abstract

Searching for gifts’ inspirations for relatives is becoming increasingly difficult. A person can collect ideas on the internet, ask the relatives or get inspiration from gifts, which the person received in the past. This study focuses on the suggestion and development of an algorithm for the calculation of the optimal route between searched shops, which is a part of the mobile application for Android platform. The results of this study are summarised in the article’s conclusion.

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References

  1. Google Trends - Tipy na dárky. Google Trends. https://www.google.com/trends/explore#q=tipy%20na%20d%C3%A1rky. Accessed 28 Dec 2015

  2. Google Trends – Gift ideas. Google Trends. https://www.google.com/trends/explore#q=gift%20ideas. Accessed 28 Dec 2015

  3. Google Trends (2016). https://www.google.cz/trends/. Accessed 28 Dec 2015

  4. Contreas-Bolton, C., Gatica, G., Barra, C.R., Parada, V.: A multi-operator genetic algorithm for the generalized minimum spanning tree problem. Expert Syst. Appl. 50, 1–8 (2016). doi:10.1016/j.eswa.2015.12.014

    Article  Google Scholar 

  5. Moncla, L., Gaio, M., Nogueras-Iso, J., Mustiere, S.: Reconstruction of itineraries from annotated text with an informed spanning tree algorithm. Int. J. Geogr. Inf. Sci. 30(6), 1137–1160 (2016)

    Article  Google Scholar 

  6. Shangin, R., Pardalos, P.: Heuristics for the network design problem with connectivity requirements. J. Comb. Optim. 31(4), 1461–1478 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  7. Nemeckova, V., Dvorak, J., Krejcar, O.: Mobile application for calculation of optimal route between searched points of interest. In: Król, D., Nguyen, N.T., Shirai, K. (eds.) ACIIDS 2017. SCI, vol. 710, pp. 537–547. Springer, Cham (2017). doi:10.1007/978-3-319-56660-3_46

    Chapter  Google Scholar 

  8. Google Places API. https://developers.google.com/places/. Accessed 23 Mar 2017

  9. Google Maps API. https://developers.google.com/maps/. Accessed 23 Mar 2017

  10. Google Maps Directions API. https://developers.google.com/maps/documentation/directions/. Accessed 23 Mar 2017

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Acknowledgement

This work and the contribution were supported by project “SP-2102-2017 - Smart Solutions for Ubiquitous Computing Environments” Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic.

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Correspondence to Ondrej Krejcar .

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Nemeckova, V., Dvorak, J., Selamat, A., Krejcar, O. (2017). Optimal Route Prediction as a Smart Mobile Application of Gift Ideas. In: Benferhat, S., Tabia, K., Ali, M. (eds) Advances in Artificial Intelligence: From Theory to Practice. IEA/AIE 2017. Lecture Notes in Computer Science(), vol 10350. Springer, Cham. https://doi.org/10.1007/978-3-319-60042-0_17

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  • DOI: https://doi.org/10.1007/978-3-319-60042-0_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60041-3

  • Online ISBN: 978-3-319-60042-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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