Mobile Alert for Upcoming Competitive Exams with Collaborative Filtering Using K-NN

Authors

  • Roobha G  Master of Computer Application, University College of Engineering, Anna University, BIT Campus, Tiruchirapalli, Tamil Nadu, India
  • R Karthiyayini  Master of Computer Application, University College of Engineering, Anna University, BIT Campus, Tiruchirapalli, Tamil Nadu, India

Keywords:

Collaborative filtering , K-NN, Notification Alert, SMS Alert.

Abstract

Collaborative filtering is the process of performing recommendation system based on the user requirements for a particular service. It is a modern way that private department provides services for the public to improve government job’s efficiently. It is very important need to improve the public services for the social development for our nation. This system offers benefits to the public who needed satisfied jobs can receive valuable information regarding current competitive exams on the fly, easily and conveniently.With the advent of mobile network communication system, users have been offered lots of services such as ability to send multimedia messages like SMS, Video, Data files, Images e.t.c. This paper describes the design and implementation of a system (Date Alert System) that conveniently provides examination dates prior to candidates with the use of Email and SMS technology via their Mobile phones and devices. Mobile phones and devices are necessary assets, most especially to students as it makes communications and the spread of information a lot easier. The implemented system allows registered candidates to access their book materials, dates, including past candidates review comments, provided they are available in the system’s database.

References

  1. Classification rule of hiding to preserve the privacy in database -by Anita A.Parmar 
  2. National exam program  - by the office of complaince  inspections
  3. Result Alert System through SMS and E-mail Olusanya Olamide.O and Onazi Ogaba
  4. A Clustering – Based Collaborative Filtering Approach for Big Data Application  RONG HUI, WANCHUN DOUI,(Member,IEEE).
  5. Jacobs, M L. (2009) Libraries and the mobile revolution: remediation = relevance. 37 (3) pp. 286-290.
  6. M. A. Beyer and D. Laney, “The importance of `big data': A denition,''
  7. Gartner Inc., Stamford, CT, USA, Tech. Rep., 2012S. Agarwal, and A. Nath, “A study on implementing Green IT in
  8. https://www.analyticsvidhya.com/blog/2015/08/learning-concept-knn-algorithms-programming/
  9. http://www.jiaats.com/Journals Pdf/November/jeee/jeee-11.pdf
  10. http://www.ijcaonline.org/research/volume129/number15/hyma-2015-ijca-907152.pdf

Downloads

Published

2017-04-30

Issue

Section

Research Articles

How to Cite

[1]
Roobha G, R Karthiyayini, " Mobile Alert for Upcoming Competitive Exams with Collaborative Filtering Using K-NN, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.1122-1125, March-April-2017.