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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 13 | Issue 11 | Month- November 2025
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Paper Title
COVID CERTIFCATE VERIFICATION FOR E-TOURISM ON BIG DATA AND AI: A FRAME WORK USING HYBRID RECOMMENDER SYSTEM FOR USER PREFERENCE
Authors
Masilamani, Sakthi, Uma
Keywords
User preference, content-based filtering, collaborative filtering, hybrid system, User Preference Model with Government Approval (UPMGA).
Abstract
In this modern technology lot of better communication and a global computer network is in advance level. In Online Travel Agency (OTA) the tourist data has been multiplied at all levels of hotels, heritage, restaurants, etc.. To assist tourists have been planning their trip it is easily to identify the information what they are looking for , many recommender systems have been developed. In proposed system the tourist recommender system are based on the approach of hybrid recommendation. And also I want to attach the ceritificate of COVID 19 for secure and harmful travelling of people. In Modern Technology we are having large number of peoples so I use the Big data And AI.
IJCRT's Publication Details
Unique Identification Number - IJCRT22A6166
Paper ID - 221354
Page Number(s) - b260-b264
Pubished in - Volume 10 | Issue 6 | June 2022
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Masilamani, Sakthi, Uma, "COVID CERTIFCATE VERIFICATION FOR E-TOURISM ON BIG DATA AND AI: A FRAME WORK USING HYBRID RECOMMENDER SYSTEM FOR USER PREFERENCE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.b260-b264, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6166.pdf
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November 2025
Volume 13 | Issue 11
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November 2025
Volume 13 | Issue 11
Last Date :
30-Nov-2025
Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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