The design space of ubiquitous product recommendation systems

Customer reviews and recommendations for products are provided by almost all e-business platforms, supporting consumers when shopping on the web. Mobile and ubiquitous computing provide extended means to sense input data for recommendations and to make recommendations available for consumers when shopping in traditional stores. This work contributes a comprehensive design space that outlines design options for product recommendation systems using mobile and ubiquitous technologies. A visual notation for the design space is proposed, based on which existing systems are categorized. Blank spaces are identified and concrete possible extensions are proposed by the example of an existing mobile product recommendation system. Finally, general options for future research on product recommendation systems using UbiComp technologies are discussed.

[1]  Bradley N. Miller,et al.  PocketLens: Toward a personal recommender system , 2004, TOIS.

[2]  C. V. Ramamoorthy,et al.  Software Engineering Research and Applications , 2004 .

[3]  G. Haines,et al.  The Theory of Buyer Behavior. , 1970 .

[4]  Aaron Quigley,et al.  Profiling and targeting opportunities in pervasive advertising , 2009 .

[5]  Anthony F. Norcio,et al.  Personalized Recommender Systems in e-Commerce and m-Commerce: A Comparative Study , 2005 .

[6]  Lars Erik Holmquist,et al.  When Media Gets Wise: collaborative filtering with mobile media agents , 2006, IUI '06.

[7]  Alex Pentland,et al.  Social serendipity: mobilizing social software , 2005, IEEE Pervasive Computing.

[8]  Alireza Sahami Shirazi,et al.  Rich Tactile Output on Mobile Devices , 2008, AmI.

[9]  Michael Roberts,et al.  Activity-based serendipitous recommendations with the Magitti mobile leisure guide , 2008, CHI.

[10]  S. Sénécal,et al.  The influence of online product recommendations on consumers' online choices , 2004 .

[11]  Stephan Karpischek,et al.  Mobile sales assistant: NFC for retailers , 2007, Mobile HCI.

[12]  Bernt Schiele,et al.  A model for human interruptability: experimental evaluation and automatic estimation from wearable sensors , 2004, Eighth International Symposium on Wearable Computers.

[13]  Alessandro De Gloria,et al.  User Testing a Hypermedia Tour Guide , 2002, IEEE Pervasive Comput..

[14]  Mauro Brunato,et al.  PILGRIM: A location broker and mobility-aware recommendation system , 2003, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[15]  Diomidis Spinellis,et al.  Intelligent Cokes and Diapers: MyGROCER Ubiquitous Computing Environment , 2002 .

[16]  Gary Hsieh,et al.  Using Low-Cost Sensing to Support Nutritional Awareness , 2002, UbiComp.

[17]  Pattie Maes,et al.  Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.

[18]  Florian Michahelles,et al.  A mobile product recommendation system interacting with tagged products , 2009, 2009 IEEE International Conference on Pervasive Computing and Communications.

[19]  Chrysanthos Dellarocas,et al.  The Digitization of Word-of-Mouth: Promise and Challenges of Online Feedback Mechanisms , 2003, Manag. Sci..

[20]  Bradley N. Miller,et al.  MovieLens Unplugged: Experiences with a Recommender System on Four Mobile Devices , 2004 .

[21]  Douglas B. Terry,et al.  Using collaborative filtering to weave an information tapestry , 1992, CACM.

[22]  Edward J. Gottsman,et al.  Pocket Bargain Finder: A Handheld Device for Augmented Commerce , 1999, HUC.

[23]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[24]  Landon P. Cox,et al.  LiveCompare: grocery bargain hunting through participatory sensing , 2009, HotMobile '09.

[25]  Maryon King,et al.  The effects of expertise, end goal, and product type on adoption of preference formation strategy , 1994 .

[26]  Albrecht Schmidt,et al.  An Evaluation of Product Identification Techniques for Mobile Phones , 2009, INTERACT.

[27]  Sai Kolluri,et al.  Social mobile Augmented Reality for retail , 2009, 2009 IEEE International Conference on Pervasive Computing and Communications.

[28]  Lisa R. Klein.  Evaluating the Potential of Interactive Media through a New Lens: Search versus Experience Goods , 1998 .

[29]  Johan Koolwaaij,et al.  Context-Aware Recommendations in the Mobile Tourist Application COMPASS , 2004, AH.

[30]  Albrecht Schmidt,et al.  Implicit human computer interaction through context , 2000, Personal Technologies.

[31]  Florian Michahelles,et al.  APriori: A Ubiquitous Product Rating System , 2008 .

[32]  Elgar Fleisch,et al.  Flexible-foam-based capacitive sensor arrays for object detection at low cost , 2008 .

[33]  Lawrence Feick,et al.  The Role of Interpersonal Sources in External Search: an Informational Perspective , 1984 .

[34]  R. MacAvoy,et al.  Frictionless Commerce? A Comparison of Internet and Conventional Retailers , 1999 .

[35]  Pattie Maes,et al.  WUW - wear Ur world: a wearable gestural interface , 2009, CHI Extended Abstracts.

[36]  Annie Chen,et al.  Context-aware collaborative filtering system: predicting the user's preferences in ubiquitous computing , 2005, CHI Extended Abstracts.

[37]  Bradley N. Miller,et al.  MovieLens unplugged: experiences with an occasionally connected recommender system , 2003, IUI '03.

[38]  Keith Cheverst,et al.  Developing a context-aware electronic tourist guide: some issues and experiences , 2000, CHI.

[39]  Alessandro De Gloria,et al.  IEEE Pervasive Computing: Integrated Environments - User Testing a Hypermedia Tour Guide , 2002, IEEE Distributed Syst. Online.

[40]  Eunseok Lee,et al.  A Next Generation Intelligent Mobile Commerce System , 2003, SERA.

[41]  Jan Marco Leimeister,et al.  Do Point of Sale RFID-Based Information Services Make a Difference? Analyzing Consumer Perceptions for Designing Smart Product Information Services in Retail Business , 2008, Electron. Mark..

[42]  Gregory D. Abowd,et al.  Cyberguide: A mobile context‐aware tour guide , 1997, Wirel. Networks.

[43]  David M. Nichols,et al.  Implicit Rating and Filtering , 1998 .

[44]  Carlo Strapparava,et al.  Adaptive Hypermedia and Adaptive Web-Based Systems, 5th International Conference, AH 2008, Hannover, Germany, July 29 - August 1, 2008. Proceedings , 2008, AH.

[45]  A. Rangaswamy,et al.  Consumer Choice Behavior in Online and Traditional Supermarkets: The Effects of Brand Name, Price, , 2000 .

[46]  Steffen Rothkugel,et al.  Ad Hoc Collaborative Filtering for Mobile Networks , 2008, 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008).

[47]  Loren Terveen,et al.  PHOAKS: a system for sharing recommendations , 1997, CACM.