Closest Neighbor Search for Hotel Recommendation by Multiple Keywords
Abstract & Details
Research Area
Computer Engineering
Keywords
Nearest Neighbor Search
Boyer Moore Horspool Algorithm
k-NN algorithm
Multiple Keyword Search
Abstract
The searching of nearest neighbor is based on basically k-NN algorithm. In this system the k-NN algorithm is used for finding the closest location which is satisfying the user requirements by fetching the data from the stored database. In the earlier days the nearest neighbor retrieval was based on spatial index. The spatial index algorithm was having some drawbacks like space and time complexities. Also there was less speed for execution and not much user friendly. Our system uses Boyer Moore Horspool algorithm for pattern matching that is matching the keywords given by user with existing database. The main goal of this system is to find out the closest location from the user’s current location with fulfilling all the user entered menus for the hotels. For example instead of mentioning the names of the hotels search for menus required. For example if user searches for “Biryani, Paneer tikka, Chinese” then the system searches for these keywords and matches with database. And recommends the list of hotels with highest priorities. This system deals with multidimensional and give the response of all nearest neighbors in real time.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Trupti Shendkar | RMDSSOE, Warje Pune |
| 2 | Gauri Vaso | RMDSSOE, Warje Pune |
| 3 | Rohan Navale | RMDSSOE, Warje Pune |
| 4 | Pradnya Kasture | RMDSSOE, Warje Pune |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Shendkar, Trupti, Vaso, Gauri, Navale, Rohan, & Kasture, Pradnya (2017). Closest Neighbor Search for Hotel Recommendation by Multiple Keywords. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 5010-5012.
MLA Style
Shendkar, Trupti, et al. "Closest Neighbor Search for Hotel Recommendation by Multiple Keywords." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 5010-5012.
IEEE Style
Trupti Shendkar, Gauri Vaso, Rohan Navale, and Pradnya Kasture, "Closest Neighbor Search for Hotel Recommendation by Multiple Keywords," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 5010-5012, 2017.
Vancouver Style
Shendkar Trupti, Vaso Gauri, Navale Rohan, Kasture Pradnya. Closest Neighbor Search for Hotel Recommendation by Multiple Keywords. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):5010-5012.
Harvard Style
Shendkar, Trupti, Vaso, Gauri, Navale, Rohan, & Kasture, Pradnya (2017) 'Closest Neighbor Search for Hotel Recommendation by Multiple Keywords', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 5010-5012.
Chicago Style
Shendkar, Trupti, et al. "Closest Neighbor Search for Hotel Recommendation by Multiple Keywords." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 5010-5012.
Turabian Style
Shendkar, Trupti, et al. "Closest Neighbor Search for Hotel Recommendation by Multiple Keywords." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 5010-5012.
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