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Group Recommendation System for User-Centric Support in Virtual Logistic Hub

Authors:
Alexnader Smirnov
Nikolay Shilov

Keywords: collaborative recommendation system; group profiling; context management; decision mining

Abstract:
Currently, the society becomes more and more knowledge-intensive when a level of collaboration of different groups of people and institutes increases dramatically. One of the possible ways to assist to a group of users is collaborative recommendation systems. These systems have to recommend some solutions (related to products, technologies, tools, material and business models) based on user group requirements, preferences and willingness to compromise and to be pro-active. The paper proposes an approach to developing a group recommendation system for virtual logistic hub based on such technologies as user and group profiling, context management, decision mining. The system allows accumulation of knowledge about user actions and decisions and compromising between group and individual preferences. Proposed approach enables formulation of recommendations for users of the same group anticipating their possible further actions and decisions.

Pages: 13 to 18

Copyright: Copyright (c) IARIA, 2012

Publication date: April 29, 2012

Published in: conference

ISSN: 2308-4065

ISBN: 978-1-61208-224-0

Location: Chamonix, France

Dates: from April 29, 2012 to May 4, 2012