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Thorben Keller
Former Member
Title
Dr.
Last Name
Keller
First name
Thorben
Phone
+41 71 224 7243
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1 - 10 of 16
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PublicationClassification Models for RFID-based Real-Time Detection of Process Events in the Supply Chain: An Empirical Study(Association for Computing Machinery, 2015-01-01)
;Thiesse, FredericType: journal articleJournal: ACM Transactions on Management Information Systems (TMIS)Volume: 5Issue: 4DOI: 10.1145/2629449Scopus© Citations 22 -
PublicationThe Effects of Personalized Recommendations with Popularity Information on Sales - A Field Study in Grocery Retailing(Association for Information Systems (AIS), 2015)
;Schopfer, SandroType: journal articleJournal: Proceedings of the European Conference on Information Systems (ECIS)Issue: Paper 65 -
PublicationTowards a Residential Micro-Location Based Product and Service Recommender System( 2015-02-12)Turber, StefanieType: conference paper
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PublicationUsing Mobile Applications as an In-store Marketing Tool : The Effects of Personalized Product Recommendations and Popularity Information on Sales(Collaboration in Research, 2015-05-26)
;Schopfer, SandroType: conference paper -
PublicationAn e-Commerce like platform enabling bricks-and-mortar stores to use sophisticated product recommender systemsCompared to online-retailers, bricks-and-mortar stores have only limited possibilities to understand consumer preferences, their intentions, and their feedback. The first are able to evaluate clickstream data collected on their web-pages alongside the actual purchase data to put together a comprehensive view on individual customers. Bricks-and-mortar stores on the other hand have to rely solely on the evaluation of scanner data collected at the point of sale (POS). Thus, akin to the Event Horizon in physics, describing the boundary beyond which events are unobservable, we introduce the term Receipt Horizon to describe the natural boundary beyond which a retailing company is unable to observe the behavior of individual customers. In this demo paper we present our comprehensive approach on how bricks-and-mortar stores can go beyond the Receipt Horizon. We demonstrate how existing customer loyalty programs can be leveraged by an extensive mobile app, transferring proven e-commerce concepts to physical retailers and collecting numerous novel information about consumers.Type: conference paper
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PublicationUsing Dynamic Time Warping to Identify RFID Tag Movement in a Logistics Scenario with and without Additional Process Knowledge(Association for Information Systems, 2014-12-15)
;Thiesse, FredericIn recent years, Radio Frequency Identification (RFID) has been widely adopted as a solution for the fully automatic identification of physical objects. However, technological and physical constraints may sometimes hamper a productive use. One of the key issues is the problem of false-positive RFID tag reads, that is, RFID transponders that are detected unintentionally by the reader hardware. The present paper proposes and evaluates a comprehensive time-series analysis technique to identify and filter false-positives from the RFID data stream. Furthermore, we investigate the value of additional knowledge about the business process to be monitored. We empirically test our approach using a large set of RFID data collected at the distribution center of a large European retailer.Type: conference paper -
PublicationLong Term Recommender Benchmarking for Mobile Shopping List Applications using Markov ChainsThis paper presents a method to estimate the performance and success rate of a recommender system for digital shopping lists. The list contains a number of items that are allowed to occupy three different states (to be purchased, purchased and deleted) as a function of time. Using Markov chains, the probability distribution function over time can be estimated for each state, and thus, the probability that a recommendation is deleted from the list can be used to benchmark a recommender on its endurance and performance. An experimental set up is described that allows to test the presented method in an actual mobile application. The application of the method will allow to benchmark a variety of recommenders. An outlook is given on how the presented method can be used iteratively to support a recommender in finding the user's favorite items/products.Type: conference paper
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PublicationEfficient Encoding and Transmission of Digital Receipts for mobile Commerce( 2013-06-10)Making receipts digital creates a new dialog between customers, retailers, and brands, allowing them to discuss products and purchases in real-time. However, the transmission of digital receipts is still a problem, since often Internet connectivity is not available at the point of sale which hampers a real-time interaction. To overcome this problem with current technology, this paper presents a way to efficiently transmit a complete receipt in a QR-code, a certain kind of 2D matrix code (often also called "2D barcode"). Thereby, only a smartphone equipped with a camera is needed and Internet connectivity is not a problem anymore. However, due to size constraints, the encoding of a full receipt needs to be as efficient as possible. We present a custom, domain-specific encoding that was developed exactly for this purpose and show that our prototype implementation performs better than sophisticated, general purpose compression algorithms on this kind of data.Type: conference paper
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PublicationDecreasing false-positive RFID Tag Reads by Improved Portal Antenna SetupsThe problem of false-positive RFID tag reads i.e., tags that have been read unintentionally by a reader, is crucial for the actual implementation of RFID solutions in the real world. Prior research has shown that the use of the low-level reader data is suitable to approach this problem and it is the scope of this paper to evaluate the use of alternative RFID reader antenna setups to support this idea. We collected a large number of data in a productive RFID enabled distribution center, derived additional knowledge from our findings and used it to train a machine learning algorithm for the detection of such false-positive reads. It will be shown that the proposed solutions significantly improve the previously in the literature presented classification algorithms.Type: conference paper
Scopus© Citations 20 -
PublicationUsing Low-Level Reader Data to Detect false-positive RFID Tag ReadsRadio Frequency Identification (RFID) can be used in various ways for the optimization of supply chain management processes. However, there are technological constraints that delay a reliable and productive use of the technology. One of these constraints is the problem of false-positive RFID tag reads i.e., tags that have been read unintentionally by an RFID reader. We propose a machine learning based approach that makes use of the low-level reader data collected when reading tags to detect such false-positives. We evaluate our approach by verifying it with data collected in a productive RFID enabled distribution center, where it is necessary to distinguish between pallets that are loaded onto trucks and pallets that are in range of the reader by accident only. Furthermore, we identify several attributes which are expected to reveal characteristics within the low-level reader data that is typical to such false-positive reads.Type: conference paper
Scopus© Citations 30