TOURISM BASED HYBRID RECOMMENDATION SYSTEM
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Social networking
Cosine similarity
Hybrid recommendation system.
Abstract
That is presents first the data driven method to mine trips from location based social networks to understand how tourist travel around the world.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Sharmila .P | Erode Sengunthar Engineering College |
| 2 | Tamilselvi R | Erode Sengunthar Engineering College |
| 3 | Vasanthi K | Erode Sengunthar Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
.P, Sharmila, R, Tamilselvi, & K, Vasanthi (2023). TOURISM BASED HYBRID RECOMMENDATION SYSTEM. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 591-595.
MLA Style
.P, Sharmila, et al. "TOURISM BASED HYBRID RECOMMENDATION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 591-595.
IEEE Style
Sharmila .P, Tamilselvi R, and Vasanthi K, "TOURISM BASED HYBRID RECOMMENDATION SYSTEM," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 591-595, 2023.
Vancouver Style
.P Sharmila, R Tamilselvi, K Vasanthi. TOURISM BASED HYBRID RECOMMENDATION SYSTEM. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):591-595.
Harvard Style
.P, Sharmila, R, Tamilselvi, & K, Vasanthi (2023) 'TOURISM BASED HYBRID RECOMMENDATION SYSTEM', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 591-595.
Chicago Style
.P, Sharmila, Tamilselvi R, and Vasanthi K. "TOURISM BASED HYBRID RECOMMENDATION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 591-595.
Turabian Style
.P, Sharmila, Tamilselvi R, and Vasanthi K. "TOURISM BASED HYBRID RECOMMENDATION SYSTEM." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 591-595.
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