Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  DIGITAL TOURIST GUIDE SYSTEM
PaperId: :  5025
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-5025
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mr. Arun SelvakumarD Y Patil College Of Engineering, Akurdi, Pune, MH, India
Mr. Ganesh jamadarD Y Patil College Of Engineering, Akurdi, Pune, MH, India
Mr. Abhijeet KadamD Y Patil College Of Engineering, Akurdi, Pune, MH, India
Mr. Swapnil GholapD Y Patil College Of Engineering, Akurdi, Pune, MH, India
Ms. Soudamini PawarD Y Patil College Of Engineering, Akurdi, Pune, MH, India
Mrs. Vidya Nikamnikamvidya24@gmail.com

Abstract

Computer Engineering
Venue-based Recommendation Systems (VRS), Pearson Correlation Coefficient (PCC), NSGA-II algorithm, CF-based, Bi-Objective Recommendation Framework (BORF).
Recommendation frameworks have seen significant development in the field of information building. Performance of the vast majority of the current collaborative separating based recommendation framework endures because of the challenges, such as: (a) cold start, (b) data sparseness, and (c) scalability. Recommendation problem is regularly characterized by the presence of numerous conflicting objectives or decision variables, such as clients' preferences and venue closeness. MobiContext is a hybrid cloud based Bi - Objective Recommendation Framework (BORF) for mobile social systems. The MobiContext uses multi - objective advancement techniques to produce customized recommendations. The BORF performs data preprocessing by utilizing the Hub - Average (HA) inference model to deliver the issues relating to cold start and data sparseness. The proposed system uses filters to view only venues classified in a particular category for example only gardens, hill stations, lakes, etc. User have to login to the system and through GPS user's location will be obtained and venues nearby his/her location will be recommended.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Mr. Arun Selvakumar, Mr. Ganesh jamadar, Mr. Abhijeet Kadam, Mr. Swapnil Gholap, Ms. Soudamini Pawar, and Mrs. Vidya Nikam. "DIGITAL TOURIST GUIDE SYSTEM" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 5451-5455
MLA Mr. Arun Selvakumar, Mr. Ganesh jamadar, Mr. Abhijeet Kadam, Mr. Swapnil Gholap, Ms. Soudamini Pawar, and Mrs. Vidya Nikam. "DIGITAL TOURIST GUIDE SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 5451-5455.
APA Mr. Arun Selvakumar, Mr. Ganesh jamadar, Mr. Abhijeet Kadam, Mr. Swapnil Gholap, Ms. Soudamini Pawar, & Mrs. Vidya Nikam. (2017). DIGITAL TOURIST GUIDE SYSTEM. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 5451-5455.
Chicago Mr. Arun Selvakumar, Mr. Ganesh jamadar, Mr. Abhijeet Kadam, Mr. Swapnil Gholap, Ms. Soudamini Pawar, and Mrs. Vidya Nikam. "DIGITAL TOURIST GUIDE SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 5451-5455.
Oxford Mr. Arun Selvakumar, Mr. Ganesh jamadar, Mr. Abhijeet Kadam, Mr. Swapnil Gholap, Ms. Soudamini Pawar, and Mrs. Vidya Nikam. 'DIGITAL TOURIST GUIDE SYSTEM', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 5451-5455. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/DIGITAL_TOURIST_GUIDE_SYSTEM_ijariie5025.pdf (Accessed : 19 June 2018).
Harvard Mr. Arun Selvakumar, Mr. Ganesh jamadar, Mr. Abhijeet Kadam, Mr. Swapnil Gholap, Ms. Soudamini Pawar, and Mrs. Vidya Nikam. (2017) 'DIGITAL TOURIST GUIDE SYSTEM', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 5451-5455IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/DIGITAL_TOURIST_GUIDE_SYSTEM_ijariie5025.pdf (Accessed : 19 June 2018)
IEEE Mr. Arun Selvakumar, Mr. Ganesh jamadar, Mr. Abhijeet Kadam, Mr. Swapnil Gholap, Ms. Soudamini Pawar, and Mrs. Vidya Nikam, "DIGITAL TOURIST GUIDE SYSTEM," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 5451-5455, Mar-App 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/DIGITAL_TOURIST_GUIDE_SYSTEM_ijariie5025.pdf [Accessed : 19 June 2018].
Turabian Mr. Arun Selvakumar, Mr. Ganesh jamadar, Mr. Abhijeet Kadam, Mr. Swapnil Gholap, Ms. Soudamini Pawar, and Mrs. Vidya Nikam. "DIGITAL TOURIST GUIDE SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 (19 June 2018).
Vancouver Mr. Arun Selvakumar, Mr. Ganesh jamadar, Mr. Abhijeet Kadam, Mr. Swapnil Gholap, Ms. Soudamini Pawar, and Mrs. Vidya Nikam. DIGITAL TOURIST GUIDE SYSTEM. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 19 June 2018]; 3(2) : 5451-5455. Available from: https://ijariie.com/AdminUploadPdf/DIGITAL_TOURIST_GUIDE_SYSTEM_ijariie5025.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 6/19/2018 2:16:38 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review on Ad Makers- Creation & Design Advertising CampaignsComputer EngineeringSwapnil Ohol1 Download
DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORKComputer ScienceChikati Madhava Rao Download
Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning ModelsComputer ScienceMohmad Ahmed Ali Download
Enhance Accuracy of Medical Disease Prediction Using Machine Learning TechniquesMachine LearningSandeep Singh Sikarwar Download
Transformer-based Generative Adversarial Network (GAN) hybrid model for sentiment analysisInformation Technologyhridesh kumar Download
A Step Ahead in Operational Resilience - Integrating Observability with DevOpsComputer EngineeringAmit Sengupta Download
The Influence of Artificial Intelligence and Human-Computer Interaction on Enhancing Children's Learning ExperiencesComputer Engineering,Supriya S Kendhuli Download
Medicinal Plants Identification Using Deep LearningComputer Engineering Rohan Kumar Verma Download
“How to balance automation and ethics when rolling out AI automation in an Educational Framework”Computer SciecneSudhakar mishra Download
Microservices Fault Tolerance PatternsComputer EngineeringAmit Sengupta Download
Forecasting and Categorization of Cardiac Arrhythmia using Soft Computational ApproachesComputer Science and EngineeringDr. Sivaprakash. C Download
Enhancing CybersecurityComputer EngineeringG Tarun Download
Microservices Design PatternsComputer EngineeringAmit Sengupta Download
The Novel Approach to Detect Kidney Stones Using Deep Learning and Convolutional Neural NetworksCSEN Manjunatha Download
An investigation into the use of deep learning and image processing in the domain of diabetic medical careCSEHR Ravikumar Download
12