Open AccessPG Recommendation
Author(s) -
Mohit Sharma,
Hritik Baliyan,
Akhil Chikara,
Gajanand Sharma
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40966
Subject(s) - task (project management) , variety (cybernetics) , plan (archaeology) , computer science , recommender system , process (computing) , world wide web , artificial intelligence , engineering , history , systems engineering , archaeology , operating system
When you plan of going to study far away from your comfort zone, one of the first things to do is to book a good place to stay. Booking a PG online can be an overwhelming task with thousands of PG to choose from.Inspired by the importance of these situations, we made a decision to apply our skills on the task of recommending PG to Students. We used a hotel recommendation dataset, which provided us with a variety of features that helpedus gain a deeper understanding of the process that makes a user choose certain PG. The aim of this PG recommendation project is to predict and recommend best PG to a user that he/she is more likely to book from the given hundred distinct choices.