Recommendation Engine Development for Real State Marketplace App

Thumbnail Image

URL

Journal Title

Journal ISSN

Volume Title

Perustieteiden korkeakoulu | Master's thesis

Authors

Date

2022-12-12

Department

Major/Subject

Data Science

Mcode

SCI3115

Degree programme

Master's Programme in ICT Innovation

Language

en

Pages

68+4

Series

Abstract

The 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.

Description

Supervisor

Garg, Vikas

Thesis advisor

Sandqvist, Sam

Keywords

recommendation engine, model-based recommendation engine, matrix Multimlication, collaborative filtering, real-estate marketplace

Other note

Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-202212187037

Collections

[dipl] Perustieteiden korkeakoulu / SCI