"Peer-to-peer based Recommendations for Mobile Commerce"
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Authors: Amund Tveit
Abstract:
With the inreasing number of mobile commerce facilities, there are challenges in providing customers useful recommendations about interesting products and services.
In this paper a Peer-to-Peer (P2P) based collaborative filtering architecture for the support of product and service recommendations for mobile customers is considered. Mobile customers are represented by software assistant agents that act like peers in the processing of recommendations.
Keywords:
P2P, Collaborative Filtering, Mobile Commerce, Recommendations, Interface agents
Bibtex Citation
@InProceedings{Tveit2001P2P,
author = "Amund Tveit",
title = "Peer-to-peer based Recommendations for Mobile Commerce",
booktitle = "Proceedings of the First International Workshop on Mobile Commerce",
year = "2001",
address = "Rome, Italy",
month = "July",
pages = "26-29",
organization = "ACM"
}
Workshop:
First ACM Mobile Commerce Workshop, Rome, Italy - July 2001.
Curriculum:
This paper has been used as curriculum or project material for the following courses:
Dr. Jani Mantyjarvi, Course: POSTGRADUATE SEMINAR COURSE ON: ADAPTIVE INTERACTION TECHNOLOGIES FOR MOBILE DEVICES,, 2004-2005
(Course Material)
Professor Dr. Erhard Rahm, Course: Problemseminar: Peer-to-peer (P2P) Data Management, Institut fur Informatik, University of Leipzig, Germany, 2003-2004
(Litterature)
Assistant Professor Michael Weiss, Project Summer Term Projects. School of Computer Science, University of Carleton, Canada
(Student Project Description)
Known Citations:
This paper has been cited in the following papers:
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