Recommendation Engine Development for Real State Marketplace App

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorSandqvist, Sam
dc.contributor.authorPerez, Alejandro
dc.contributor.schoolPerustieteiden korkeakoulufi
dc.contributor.supervisorGarg, Vikas
dc.date.accessioned2022-12-18T18:01:01Z
dc.date.available2022-12-18T18:01:01Z
dc.date.issued2022-12-12
dc.description.abstractThe goal of this project is to create a recommendation engine for Casafy, a Proptech startup that wants to develop a Real Estate Marketplace App in Brazil. For this, first a Rule-based recommendation system will be developed as a placeholder in order to collect user interaction data. Afterwards, two Machine learning Recommendation Engines will be developed making use of user's, real estate property's and aforementioned interaction data. These two models will be a matrix factorization based collaborative filtering system and a model-based system. An ablation study will be conducted to examine the contribution of each individual component in the data. Finally, their performance will be compared using several metrics, such as rmse, micro f1, macro f1 and hamming loss to evaluate and decide which architecture will be used for the final product.en
dc.format.extent68+4
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/118295
dc.identifier.urnURN:NBN:fi:aalto-202212187037
dc.language.isoenen
dc.programmeMaster's Programme in ICT Innovationfi
dc.programme.majorData Sciencefi
dc.programme.mcodeSCI3115fi
dc.subject.keywordrecommendation engineen
dc.subject.keywordmodel-based recommendation engineen
dc.subject.keywordmatrix Multimlicationen
dc.subject.keywordcollaborative filteringen
dc.subject.keywordreal-estate marketplaceen
dc.titleRecommendation Engine Development for Real State Marketplace Appen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
local.aalto.electroniconlyyes
local.aalto.openaccessno

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