Anand, Sarabjot Singh and Mobasher, Bamshad (2007) Contextual recommendation. In: Berendt, B. and Hotho, A. and Mladenic, D. and Semeraro, G., (eds.) From Web to social Web : discovering and deploying user and content profiles. Lecture Notes in Artificial Intelligence, Volume 4737 . Springer Berlin Heidelberg, pp. 142-160. ISBN 9783540749509

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Abstract

The role of context in our daily interaction with our environment has been studied in psychology, linguistics, artificial intelligence, information retrieval, and more recently, in pervasive/ubiquitous computing. However, context has been largely ignored in research into recommender systems specifically and personalization in general. In this paper we describe how context can be brought to bear on recommender systems. As a means for achieving this, we propose a fundamental shift in terms of how we model a user within a recommendation system: inspired by models of human memory developed in psychology, we distinguish between a user's short term and long term memories, define a recommendation process that uses these two memories, using context-based retrieval cues to retrieve relevant preference information from long term memory and use it in conjunction with the information stored in short term memory for generating recommendations. We also describe implementations of recommender systems and personalization solutions based on this framework and show how this results in an increase in recommendation quality.

Item Type:	Book Item
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Series Name:	Lecture Notes in Artificial Intelligence
Publisher:	Springer Berlin Heidelberg
ISBN:	9783540749509
ISSN:	0302-9743
Book Title:	From Web to social Web : discovering and deploying user and content profiles
Editor:	Berendt, B. and Hotho, A. and Mladenic, D. and Semeraro, G.
Official Date:	2007
Dates:	Date Event 2007 Published
Volume:	Volume 4737
Number of Pages:	19
Page Range:	pp. 142-160
Status:	Peer Reviewed
Publication Status:	Published
Title of Event:	Workshop on Web Mining
Location of Event:	Berlin, Germany
Date(s) of Event:	18 Sep 2006
Related URLs:	Organisation

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