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A mobile product recommendation system interacting with tagged products

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4 Author(s)
Felix von Reischach ; Auto-ID Labs ETH Zurich and SAP Research CEC Zurich, Switzerland ; Dominique Guinard ; Florian Michahelles ; Elgar Fleisch

This paper presents a concept that enables consumers to access and share product recommendations using their mobile phone. Based on a review of current product recommendation mechanisms it devises a concept called APriori. APriori leverages the potential of auto-ID-enabled mobile phones (barcode/RFID) to receive and submit product ratings. Since mobile users cannot be expected to have the patience and time to compose text-based reviews on mobile phones, we introduce a new rating concept that allows users to generate new rating criteria. The concept is tailored to the limited attention and input options of mobile users in real-world environment. This work describes the architecture, implementation, and evaluation of APriori. For an evaluation we have taken the approach of interviewing 26 users in the frames of a formative user study, with the goal to further improve the system for an application in the real world. In addition, the paper discusses open issues regarding community-based product recommendations on mobile phones and proposes solutions.

Published in:

Pervasive Computing and Communications, 2009. PerCom 2009. IEEE International Conference on

Date of Conference:

9-13 March 2009