Publicação
Hyperml and deep interest network to build a recommender system for modatta: targeting customers for campaign offers in a two-sided market
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Han, Qiwei | |
| dc.contributor.author | Macedo, Patrícia Alexandra Cravo | |
| dc.date.accessioned | 2022-06-17T12:17:57Z | |
| dc.date.available | 2022-06-17T12:17:57Z | |
| dc.date.issued | 2022-01-21 | |
| dc.date.submitted | 2021-12-16 | |
| dc.description.abstract | This project studies two Deep Learning approaches, aiming to learn representations using embeddings, as well as get more insights about users, by deploying a Recommender System. After wards, it will allow Modatta to provide users with personalized offers based on their interests. Choosing the right users is critical for the success of a campaign offer. Therefore, it’s necessary to identify a user-base making sure that ,not only marketers will target their offer for those that are going to accept the campaign, but also users will get the offers they need and desire. | pt_PT |
| dc.identifier.tid | 202972097 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/140149 | |
| dc.language.iso | eng | pt_PT |
| dc.relation | Nova School of Business and Economics | |
| dc.subject | Machine learning | pt_PT |
| dc.subject | Deep learning | pt_PT |
| dc.subject | Recommender systems | pt_PT |
| dc.subject | Hyperbolic embeddings | pt_PT |
| dc.subject | Data monetization | pt_PT |
| dc.subject | Customer targeting | pt_PT |
| dc.subject | Personalized offers | pt_PT |
| dc.subject | Business analysis | pt_PT |
| dc.title | Hyperml and deep interest network to build a recommender system for modatta: targeting customers for campaign offers in a two-sided market | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UID/ECO/00124/2013 | |
| oaire.awardTitle | Nova School of Business and Economics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FECO%2F00124%2F2013/PT | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| relation.isProjectOfPublication | 644a3f4f-817b-4d0d-aba6-f98cdca28bc7 | |
| relation.isProjectOfPublication.latestForDiscovery | 644a3f4f-817b-4d0d-aba6-f98cdca28bc7 | |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Masters Double Degree in Management and International Business from the NOVA – School of Business and Economics and Maastricht University Faculty of Economics and Business Administration | pt_PT |
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