Landia, N. and Anand, Sarabjot Singh (2009) Personalised tag recommendation. In: 3rd ACM Conference on Recommender Systems, New York City, NY, USA, 22-25 October 2009

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Abstract

Personalised tag recommenders are becoming increasingly important since they are useful for many document management applications including social bookmarking websites. This paper presents a novel approach to the problem of suggesting personalised tags for a new document to the user. Document similarity in combination with a user similarity measure is used to recommend personalised tags. In case the existing tags in the system do not seem suitable for the user-document pair, new tags are generated from the content of the new document as well as existing documents using document clustering. A first evaluation of the system was carried out on a dataset from the social bookmaking website, Bib-sonomy1. The results of this initial test indicate that adding personalisation to an unsupervised system through our user similarity measure gives an increase in the precision score of the system.

Item Type:	Conference Item (Paper)
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Official Date:	2009
Dates:	Date Event 2009 Published
Status:	Peer Reviewed
Publication Status:	Published
Conference Paper Type:	Paper
Title of Event:	3rd ACM Conference on Recommender Systems
Type of Event:	Workshop
Location of Event:	New York City, NY, USA
Date(s) of Event:	22-25 October 2009
Related URLs:	Organisation

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