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Authors: Josephine Griffith 1 ; Colm O’Riordan 1 and Humphrey Sorensen 2

Affiliations: 1 National University of Ireland, Ireland ; 2 University College Cork, Ireland

Abstract: This paper considers the information that can be captured about users and groups from a collaborative filtering data set with a view to creating user models and group models. The approach outlined defines a number of user and group features which are represented using a graph model where links exist between users and items, between users and users, and between items and items. The main focus of this paper is to extract implicit information about users and groups that exists in a collaborative filtering data set.

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Paper citation in several formats:
Griffith, J.; O’Riordan, C. and Sorensen, H. (2005). Identifying User and Group Information from Collaborative Filtering Data Sets. In Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces (ICETE 2005) - WPRSIUI; ISBN 972-8865-38-4, SciTePress, pages 98-106. DOI: 10.5220/0001421600980106

@conference{wprsiui05,
author={Josephine Griffith. and Colm O’Riordan. and Humphrey Sorensen.},
title={Identifying User and Group Information from Collaborative Filtering Data Sets},
booktitle={Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces (ICETE 2005) - WPRSIUI},
year={2005},
pages={98-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001421600980106},
isbn={972-8865-38-4},
}

TY - CONF

JO - Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces (ICETE 2005) - WPRSIUI
TI - Identifying User and Group Information from Collaborative Filtering Data Sets
SN - 972-8865-38-4
AU - Griffith, J.
AU - O’Riordan, C.
AU - Sorensen, H.
PY - 2005
SP - 98
EP - 106
DO - 10.5220/0001421600980106
PB - SciTePress