Open AccessPreference-Search based Recommendation System for Accommodation Facilitator : A Review
Author(s) -
Shristi Simran,
Akash Pande,
Payal Desai
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit1952245
Subject(s) - accommodation , renting , computer science , preference , facilitator , information retrieval , database , engineering , mathematics , statistics , neuroscience , civil engineering , political science , law , biology
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.