Lombardi, S. (Sabrina), Anand, Sarabjot Singh and Gorgoglione, M. (2009) Context and customer behaviour in recommendation. In: Workshop on Context-Aware Recommender Systems (CARS-2009), New York, NY, USA, 25 Oct 2009 (Unpublished)

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Abstract

The last few years have seen an increased interest in incorporating context within recommender systems. However, little empirical evidence has emerged to support the premise that context can actually improve recommendation accuracy. Indeed little agreement exists as to what represents the context of a user or indeed how such context should be used within a recommendation strategy. In this paper we study the effect of incorporating contextual variables, both observable and derived from past user behavior, on the accuracy of a content based recommender system. The system was evaluated using data from an Italian online retailer. Results suggest a significant improvement in performance when using contextual variables.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH):	Recommender systems (Information filtering), Context-aware computing
Official Date:	October 2009
Dates:	Date Event October 2009 Available
Status:	Peer Reviewed
Publication Status:	Unpublished
Access rights to Published version:	Open Access
Conference Paper Type:	Paper
Title of Event:	Workshop on Context-Aware Recommender Systems (CARS-2009)
Type of Event:	Workshop
Location of Event:	New York, NY, USA
Date(s) of Event:	25 Oct 2009
Related URLs:	Organisation

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