Dr. Jannis Hanke

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Dissertation

Thema:	Leveraging the Potentials of Open Data to Improve Recommendation Systems
Verteidigung:	2019

Publikationen

Hanke, Jannis ; Hauser, Matthias ; Dürr, Alexander ; Thiesse, Frédéric: Redefining the Offline Retail Experience: Designing Product Recommendation Systems for Fashion Stores. In: Proceedings of the Twenty-Sixth European Conference on Information Systems (2018)
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@article{hanke2018redefining, abstract = {Retailers worldwide have started deploying smart service innovations in their stores to regain market share lost to online competitors. Against this backdrop, this paper focuses on the design of product recommendation systems for fashion stores. Our research particularly aims at answering the issues of whether and to what extent (i) the sensing capabilities of smart fashion retail environments and (ii) the integration of contextual information can improve the quality of such recommendations. To this end, we consider smart fitting rooms with the ability to detect products and customers as a showcase; a transaction dataset from a leading German fashion retailer; and contextual information about the time of purchase, the store type, and the weather conditions. Our preliminary analyses indicate that sensor information regarding garment and user identification, as well as further context data help to improve product recommendations in fashion stores.}, author = {Hanke, Jannis and Hauser, Matthias and Dürr, Alexander and Thiesse, Frédéric}, booktitle = {Proceedings of the Twenty-Sixth European Conference on Information Systems}, keywords = {RFID}, title = {Redefining the Offline Retail Experience: Designing Product Recommendation Systems for Fashion Stores}, year = 2018 }
Hauser, Matthias ; Griebel, Matthias ; Hanke, Jannis ; Thiesse, Frédéric: Empowering Smarter Fitting Rooms with RFID Data Analytics. In: Proceedings of the 13th International Conference on Wirtschaftsinformatik (2017)
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@article{hauser2017empowering, author = {Hauser, Matthias and Griebel, Matthias and Hanke, Jannis and Thiesse, Frédéric}, booktitle = {Proceedings of the 13th International Conference on Wirtschaftsinformatik}, keywords = {myown}, title = {Empowering Smarter Fitting Rooms with RFID Data Analytics}, year = 2017 }
Dann, David ; Hauser, Matthias ; Hanke, Jannis: Reconstructing the Giant: Automating the Categorization of Scientific Articles with Deep Learning Techniques. In: Proceedings of the 13th International Conference on Wirtschaftsinformatik (2017)
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@article{dann2017reconstructing, author = {Dann, David and Hauser, Matthias and Hanke, Jannis}, booktitle = {Proceedings of the 13th International Conference on Wirtschaftsinformatik}, keywords = {myown}, title = {Reconstructing the Giant: Automating the Categorization of Scientific Articles with Deep Learning Techniques}, year = 2017 }
Hanke, Jannis ; Thiesse, Frédéric: Leveraging Text Mining for the Design of a Legal Knowledge Management System. In: Proceedings of the Twenty-Fifth European Conference on Information Systems (ECIS) (2017)
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@article{hanke2017leveraging, author = {Hanke, Jannis and Thiesse, Frédéric}, booktitle = {Proceedings of the Twenty-Fifth European Conference on Information Systems (ECIS)}, keywords = {myown}, title = {Leveraging Text Mining for the Design of a Legal Knowledge Management System}, year = 2017 }

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Dr. Jannis Hanke

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