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Survey on Customized Tourism and Travel Recommendation System based on User-location Vector Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 182 - Number 14 |
| Year of Publication: 2018 |
| Authors: Aditi Mhadgut, Gauri Bhagwat, Pooja Dhule |
10.5120/ijca2018917700
|
Aditi Mhadgut, Gauri Bhagwat, Pooja Dhule . Survey on Customized Tourism and Travel Recommendation System based on User-location Vector Approach. International Journal of Computer Applications. 182, 14 ( Sep 2018), 16-18. DOI=10.5120/ijca2018917700
Abstract
Location-based social networks provide people with an interface to share their locations and write reviews about interesting places of attraction. Social networking websites allows us to understand the user’s interest and behavior pattern on various Travel and Tourism services, especially travel attractions and point of interest, which can be exploited to recommend personalized list of places to users. The major challenge faced by Travel and Tourism recommendation system is to understand the indirect relationships that exist between the user and the point of interest. In this paper, user-location vector approach to represent and identify the implicit relationship between user and point of interest using a vector have been used.
References
- IEEE paper-"A user-location vector based approach for personalised tourism and travel recommendation " by Ajantha D,Jobi Vijay and Raji Sridhar,2017.
- Zhiwen Yu, Huang Xu, Zhe Yang, and Bin Guo ,Personalized Travel Package With Multi-Point-of Interest Recommendation Based on Crowdsourced User Footprints, IEEE Transactions On Human-machine Systems, Vol. 46, No. 1,pp. 151 - 158, February 2016.
- Paper-"Personalized Dynamic Recommendation System for Tourism Using Hybrid Approach in Web Mining" by Priyanka B. Tiwari, 2Krunal J. Panchal published in International Journal of Engineering Development and Research.
- IEEE paper-"A Survey on Recommender Systems" by Motlatsi Liphoto,Chunling Du, Seleman Ngwira,2014.
- Kavitha S, Jobi Vijay and Rajeswari Sridhar (2017). ‘Tourism Recommendation Using Social Media’, Advance in Intelligent Systems and Computing, Proceeding of ICAIECES 2016 Artificial Intelligence and Evolutionary Computations in Engineering Systems, Volume. 517. Article in Press.
- Jonghyun Hana , Hyunju Lee b,’Adaptive landmark recommendations for travel planning: Personalizing and clustering landmarks using geo-tagged social media’, Journal of Pervasive and Mobile Computing, Vol.18, Issue C,pp. 4–17,April 2015.
- Hsiu-Sen Chiang, Tien-Chi Huang,’ User-adapted travel planning system for personalized schedule recommendation’, Journal of Information Fusion,Vol.21,pp.3-17, January 2015.
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