A Recommender system for rental properties

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dc.contributor.authorGuy, Nicolas Nahimana
dc.date.accessioned2017-11-17T11:03:44Z
dc.date.available2017-11-17T11:03:44Z
dc.date.issued2017
dc.descriptionThesis submitted in partial fulfillment of the requirements for the Degree of Master of Science in Computer-Based Information Systems (MSIS) at Strathmore Universityen_US
dc.description.abstractLocating products or services online that meet users’ needs is increasingly difficult due to the large pool of choices to consider before arriving at the desired one. A user may spend a considerable amount of time exploring numerous online resources to locate items that fit his requirements. Furthermore, users may not always express their preferences in a manner that easily matches them to items that could meet them. Searching for items online has been done mainly through database queries that return a list of the most suitable items. Recommender systems technology can be applied to ease the task of locating desired items online. This study proposes a recommender system that enables users to carry out a preference-based search on rental properties and enables them to refine those preferences using example-critiquing in case they are not satisfied with initial search results. This recommendation approach has been shown to provide more accurate search results. This research adopted the Object-Oriented Systems Analysis and Design (OOAD) approach to the development of the system. The system was developed as a Web application using the Ruby on Rails framework. Furthermore, the system was tested to ascertain that it performed as designed.en_US
dc.identifier.urihttp://hdl.handle.net/11071/5604
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.subjectRecommender systems technologyen_US
dc.subjectRecommender systems technology--Rental Propertiesen_US
dc.subjectRubyen_US
dc.titleA Recommender system for rental propertiesen_US
dc.typeThesisen_US
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MSIS Theses and Dissertations (2017)