Body measure-aware fashion product recommendations: evaluating the predictive power of body scan data

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Piazza A, Süßmuth J, Bodendorf F
Editor(s): Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin
Publisher: CEUR-WS.org
Publishing place: Aachen
Publication year: 2017
Conference Proceedings Title: Proceedings of the RecSys 2017 Workshop on Recommendation in Complex Scenarios co-located with 11th ACM Conference on Recommender Systems (RecSys 2017)
Pages range: 5-8
ISSN: 1613-0073
Language: English


Abstract


Fashion product consumer are faced with large and fast changing product offerings. The fashion purchase decision process is complex, as the consumer has to consider various inuencing factors like current fashion trends, what fashion products fit to their personality, and what products fit to their physical appearance like hair colors or body measures. Based on novel technologies, 3D body avatars can be reconstructed from 3D or 2D data. From these avatars, body measures can be determined. The objective of this research is to investigate the predictive performance of body measures extracted from a 3D body scanner for predicting fashion item preferences. Therefore, item preferences and body scans from 200 users were collected. From the body scans, 11 body measures are extracted and integrated into a prediction model using Factorization Machines.The results from a cross-validation show, that including body measurements signicantly improves the prediction performance of the recommendation model, especially in new user scenarios, when no information about the fashion product preferences of the active user is known.



FAU Authors / FAU Editors

Bodendorf, Freimut Prof. Dr.
Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich
Piazza, Alexander
Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich
Süßmuth, Jochen Dr.-Ing.
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)


How to cite

APA:
Piazza, A., Süßmuth, J., & Bodendorf, F. (2017). Body measure-aware fashion product recommendations: evaluating the predictive power of body scan data. In Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin (Eds.), Proceedings of the RecSys 2017 Workshop on Recommendation in Complex Scenarios co-located with 11th ACM Conference on Recommender Systems (RecSys 2017) (pp. 5-8). Como, Italy, IT: Aachen: CEUR-WS.org.

MLA:
Piazza, Alexander, Jochen Süßmuth, and Freimut Bodendorf. "Body measure-aware fashion product recommendations: evaluating the predictive power of body scan data." Proceedings of the Workshop on Recommendation in Complex Scenarios co-located with 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy Ed. Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin, Aachen: CEUR-WS.org, 2017. 5-8.

BibTeX: 

Last updated on 2018-08-08 at 12:53