Personalised Tag Recommendation
Landia, N. and Anand, S.S. (2009) Personalised Tag Recommendation. In: 3rd ACM Conference on Recommender Systems, 22-25 October 2009, New York City, NY, USA.Full text not available from this repository.
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 or Workshop Item (Paper)|
|Uncontrolled Keywords:||pcav peer|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Faculty of Science > Computer Science|
|Depositing User:||Nadeem Chaudhary|
|Date Deposited:||25 May 2012 15:11|
|Last Modified:||25 May 2012 15:26|
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