Real estate recommender systems using case-base reasoning approach

The huge amount of data available on the Internet has lead to the development of online systems. This project proposes a Real Estate Recommender System using Case-Based Reasoning Approach which can help the customer to find a desired property. This proposed system uses a recommendation approach dur...

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Main Author: Alrawhani, Ebrahim Mohammed Abdo
Format: Thesis
Language:English
English
Published: 2014
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Online Access:http://eprints.utem.edu.my/id/eprint/14846/1/Real%20estate%20Recommender%20Systems%20Using%20Case%20Base%20Reasoning%20Approach%2024pages.pdf
http://eprints.utem.edu.my/id/eprint/14846/2/Real%20estate%20recommender%20systems%20using%20case-base%20reasoning%20approach.pdf
http://eprints.utem.edu.my/id/eprint/14846/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=91016&query_desc=kw%2Cwrdl%3A%20Real%20estate%20recommender%20systems%20using%20case-base%20reasoning%20approach
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
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spelling my.utem.eprints.148462022-05-17T16:44:09Z http://eprints.utem.edu.my/id/eprint/14846/ Real estate recommender systems using case-base reasoning approach Alrawhani, Ebrahim Mohammed Abdo QA Mathematics QA76 Computer software The huge amount of data available on the Internet has lead to the development of online systems. This project proposes a Real Estate Recommender System using Case-Based Reasoning Approach which can help the customer to find a desired property. This proposed system uses a recommendation approach during search for property which assists the users to find an appropriate property and make decisions where they need the required knowledge to judge a particular property. Furthermore information available is very huge, so the recommender system assists the user to filter the available dataset according to user needs. Recommendation methods used for the search engine is Case-Based reasoning approach which can solve a new problem by retrieving the same problem that has been solved before and reuse the information that used to solve this new problem. Also the system uses collaborative filtering approach which filters the properties based on other user rating for properties; the system will do recommendation based on the top rated properties. In addition the system will recommend the user based on the most visited properties, where the system will count the number of visit to the database, and then based on the property with highest number of visit system will recommend the appropriate property to the users. 2014 Thesis NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/14846/1/Real%20estate%20Recommender%20Systems%20Using%20Case%20Base%20Reasoning%20Approach%2024pages.pdf text en http://eprints.utem.edu.my/id/eprint/14846/2/Real%20estate%20recommender%20systems%20using%20case-base%20reasoning%20approach.pdf Alrawhani, Ebrahim Mohammed Abdo (2014) Real estate recommender systems using case-base reasoning approach. Masters thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=91016&query_desc=kw%2Cwrdl%3A%20Real%20estate%20recommender%20systems%20using%20case-base%20reasoning%20approach
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic QA Mathematics
QA76 Computer software
spellingShingle QA Mathematics
QA76 Computer software
Alrawhani, Ebrahim Mohammed Abdo
Real estate recommender systems using case-base reasoning approach
description The huge amount of data available on the Internet has lead to the development of online systems. This project proposes a Real Estate Recommender System using Case-Based Reasoning Approach which can help the customer to find a desired property. This proposed system uses a recommendation approach during search for property which assists the users to find an appropriate property and make decisions where they need the required knowledge to judge a particular property. Furthermore information available is very huge, so the recommender system assists the user to filter the available dataset according to user needs. Recommendation methods used for the search engine is Case-Based reasoning approach which can solve a new problem by retrieving the same problem that has been solved before and reuse the information that used to solve this new problem. Also the system uses collaborative filtering approach which filters the properties based on other user rating for properties; the system will do recommendation based on the top rated properties. In addition the system will recommend the user based on the most visited properties, where the system will count the number of visit to the database, and then based on the property with highest number of visit system will recommend the appropriate property to the users.
format Thesis
author Alrawhani, Ebrahim Mohammed Abdo
author_facet Alrawhani, Ebrahim Mohammed Abdo
author_sort Alrawhani, Ebrahim Mohammed Abdo
title Real estate recommender systems using case-base reasoning approach
title_short Real estate recommender systems using case-base reasoning approach
title_full Real estate recommender systems using case-base reasoning approach
title_fullStr Real estate recommender systems using case-base reasoning approach
title_full_unstemmed Real estate recommender systems using case-base reasoning approach
title_sort real estate recommender systems using case-base reasoning approach
publishDate 2014
url http://eprints.utem.edu.my/id/eprint/14846/1/Real%20estate%20Recommender%20Systems%20Using%20Case%20Base%20Reasoning%20Approach%2024pages.pdf
http://eprints.utem.edu.my/id/eprint/14846/2/Real%20estate%20recommender%20systems%20using%20case-base%20reasoning%20approach.pdf
http://eprints.utem.edu.my/id/eprint/14846/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=91016&query_desc=kw%2Cwrdl%3A%20Real%20estate%20recommender%20systems%20using%20case-base%20reasoning%20approach
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