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Turistas: Trip Planner and Recommender

Rohit Gupta *, Parth Shah **, Raihan Siddiqui ***, Karan Prajapati ****, Sagar D. Korde *****

*-***** K. J. Somaiya College of Engineering, Vidyavihar, Mumbai, India.

Periodicity:January - June'2021
DOI : https://doi.org/10.26634/jmt.8.1.18409

Abstract

Turistas, is an expert system that guides with itinerary planning. Turistas will help with creating routes from source to destination by passing through the point of interest of the user and thereafter providing navigation. System will also be able to locate various other break points that users would need such as ATM, Petrol Pumps, Restaurants, etc. System would also recommend various other tourist locations based on the user's visited tourist destinations. The system focuses on two aspects: the recommender system and the route planning algorithm.

Keywords

Tour Guide, Recommendation, Place of Interest, Shortest Route.

How to Cite this Article?

Gupta, R., Shah, P., Siddiqui, R., Prajapati, K., and Korde, S. D. (2021). Turistas: Trip Planner and Recommender. i-manager's Journal on Mobile Applications and Technologies, 8(1), 8-13. https://doi.org/10.26634/jmt.8.1.18409

References

[1]. Agarwal, J., Sharma, N., Kumar, P., Parshav, V., Srivastava, A., & Goudar, R. H. (2013, January). Intelligent search in ETourism services using Recommendation System: Perfect guide for tourist. In 2013, 7^th International Conference on Intelligent Systems and Control (ISCO) (pp. 410-415). IEEE. https://doi.org/10.1109/ISCO.2013.6481190

[2]. Coelho, A., & Rodrigues, A. (2011, November). Personalized travel suggestions for tourism websites. In 2011, 11^th International Conference on Intelligent Systems Design and Applications (pp. 118-123). IEEE. https://doi. org/10.1109/ISDA.2011.6121641

[3]. Fang, S. H., Lu, E. H. C., & Tseng, V. S. (2014, July). Trip recommendation with multiple user constraints by integrating point-of-interests and travel packages. In 2014, IEEE 15^th International Conference on Mobile Data Management (Vol. 1, pp. 33-42). IEEE. https://doi.org/10. 1109/MDM.2014.10

[4]. Gao, R., Li, J., Du, B., Li, X., Chang, J., Song, C., & Liu, D. (2018). Exploiting geo-social correlations to improve pairwise ranking for point-of-interest recommendation. China Communications, 15(7), 180-201. https://doi.org/ 10.1109/CC.2018.8424613

[5]. Smirnov, A., Kashevnik, A., Ponomarev, A., Shchekotov, M., & Kulakov, K. (2015, July). Application for e-tourism: th intelligent mobile tourist guide. In 2015, IIAI 4^th International Congress on Advanced Applied Informatics (pp. 40-45). IEEE. https://doi.org/10.1109/IIAI-AAI.2015.190

[6]. Wahurwagh, R. A., & Chouragade, P. M. (2019, February). Personalized POI Travel Recommendation With Multiple Tourist Information. In 2019, IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT) (pp. 1-3). IEEE. https://doi.org/10.11 09/ICECCT.2019.8869387

[7]. Ying, J. C., Lu, E. H. C., Huang, C. M., Kuo, K. C., Hsiao, Y. H., & Tseng, V. S. (2013, March). A framework for cloudst based POI search and trip planning systems. In 2013, 1^st International Conference on Orange Technologies (ICOT) (pp. 274-277). IEEE. https://doi.org/10.1109/ICOT.2013.65 21211

[8]. Zhang, H., Ganchev, I., Nikolov, N. S., & O'Droma, M. (2017, September). Weighted item ranking for pairwise matrix factorization. In 2017, South Eastern European Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM) (pp. 1-5). IEEE. https://doi.org/10.23919/SEEDA-CECNSM. 2017.8089996

[9]. Zhang, H., Ganchev, I., Nikolov, N. S., Ji, Z., & O'Droma, M. (2017, July). Weighted matrix factorization with Bayesian personalized ranking. In 2017, Computing Conference (pp. 307-311). IEEE. https://doi.org/10.1109/SAI.2017.8252119

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