Manuscript Number : CSEIT1952245
Preference-Search based Recommendation System for Accommodation Facilitator : A Review
Authors(3) :-Shristi Simran, Akash Pande, Prof. Payal Desai Finding an online house or rented property that meet renters’ requirements is increasingly getting difficult due to large pool of choices available with the renters’ before finalizing accommodation. A renter may spend considerable amount of time exploring numerous online resources to locate accommodation that fit his requirements. Furthermore, renters may not always express their preferences in a manner that easily matches their requirements. Exploring and searching for accommodation online has been done mainly through database queries that return a list of the most suitable accommodations. Recommendation systems methods can be applied to smooth the task of finding desired and required accommodation online. This study proposes a recommendation system that enables renters to carry out a preference-based search on rental properties for accommodation. In this paper preference-based search technique is combined with method called as example-critiquing. Rather than executing a query against the database, this combined approach prompts the renters to express some preferences on rental properties for accommodation. Than this method will be used to construct a preference model for the user, and finally generates a list of properties that best match that preferences.
Shristi Simran Accommodation, Renters, Preference-Based Search, Example-Critiquing, Recommendation System Publication Details Published in : Volume 5 | Issue 2 | March-April 2019 Article Preview
Computer Science and Engineering Department, Parul University, Vadodara, Gujarat, India
Akash Pande
Computer Science and Engineering Department, Parul University, Vadodara, Gujarat, India
Prof. Payal Desai
Computer Science and Engineering Department, Parul University, Vadodara, Gujarat, India
Date of Publication : 2019-04-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 951-956
Manuscript Number : CSEIT1952245
Publisher : Technoscience Academy
Journal URL : https://res.ijsrcseit.com/CSEIT1952245
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