Information Retrieval System for College Search

Authors

  • Sahal Manasia  Computer Engineering Department, Student, Shree LR Tiwari College of Engineering, Mira Road, Mumbai, Maharashtra, India
  • Siddhant Rai  Computer Engineering Department, Student, Shree LR Tiwari College of Engineering, Mira Road, Mumbai, Maharashtra, India
  • Mohit Kalwar  Computer Engineering Department, Student, Shree LR Tiwari College of Engineering, Mira Road, Mumbai, Maharashtra, India
  • Vipin Yadav  Computer Engineering Department, Student, Shree LR Tiwari College of Engineering, Mira Road, Mumbai, Maharashtra, India
  • Vinayak Shinde  Computer Engineering Department, Associate Professor, Shree LR Tiwari College of Engineering, Mira Road, Mumbai, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT2390224

Keywords:

Information Retrieval (IR), Information aggregation, Sentiment Analysis, Search Engine, Indexing, Query, Ranking.

Abstract

An information retrieval system for college search is a crucial tool for students to find the best college for their academic needs. The system uses text mining, web mining, data mining, machine learning, and semantic web techniques to provide relevant and accurate results to users. The system collects data from various sources such as college websites, student reviews, and academic databases to create a comprehensive database of colleges and their relevant information. Users can search for colleges based on their preferences, such as location, academic program, admission requirements, tuition fees, and other factors. The system also provides personalized recommendations based on the user's search history and preferences. The proposed system aims to improve the college search process for students by providing a user-friendly interface and accurate information to make informed decisions about their education.

References

  1. Akram Roshdi, A. R. (2015, September). Information Retrieval Techniques and Applications. International Journal of Computer Networks and Communications Security, 3(9), 373-377. Retrieved from www.ijcncs.org
  2. Giannis Varelas, E. V. (2005, NOVEMBER ). Semantic similarity methods in wordNet and their application to information retrieval on the web. ACM DIGITAL LIBRARY, 10-16. doi:https://doi.org/10.1145/1097047.1097051
  3. Mei Kobayashi, K. T. (2006). Visualization-based information retrieval on the Web. Library & iNFORMATION Science Research, 28(2), 192-207. doi:https://doi.org/10.1016/j.lisr.2006.03.017
  4. Omkar Borade, K. G. (n.d.). Sentiment Analysis of College Reviews. International Journal of Engineering Development and Research, 5(2).
  5. Sara Salehi, J. T. (2018). Use of Web search engines and personalization in information searching for educational purposes. An International Electronic Journal, 23. Retrieved from https://files.eric.ed.gov/fulltext/EJ1182241.pdf

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Published

2023-04-30

Issue

Section

Research Articles

How to Cite

[1]
Sahal Manasia, Siddhant Rai, Mohit Kalwar, Vipin Yadav, Vinayak Shinde, " Information Retrieval System for College Search, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 2, pp.278-282, March-April-2023. Available at doi : https://doi.org/10.32628/CSEIT2390224