INCREMENTAL USER MODELING WITH HETEROGENEOUS USER BEHAVIORS

Rafael Alonso, Philip Bramsen, Hua Li

2010

Abstract

We describe an innovative approach for incrementally learning user interests from multiple types of user behaviours or events. User interests are reflected in the concepts and their relations contained in these events. The concepts and relations form the structural elements of a user interest model. The relevance of each structural element is signified by a weight. Our user modeling algorithm builds dynamic user interest model with two concurrent processes. One process grows the model by intelligently incorporating concepts and relationships extracted from user events. Another process adapts the weights of these model elements by applying a novel combination of two mechanisms: reinforcement and forgetting, both important in modulating user interests. Our modeling algorithm supports incremental and real time modeling, and readily extends to new types of user events. One interesting application of user interest models is to identify a virtual interest group (VIG), which is an ordered set of other system users who exhibit interests similar to those of the target user. As a result, we can evaluate our user modeling algorithm through a VIG identification task. In a formative NIST evaluation using intelligence analysts, we achieved 95% VIG identification precision and recall.

Paper Citation

in Harvard Style

Alonso R., Bramsen P. and Li H. (2010). INCREMENTAL USER MODELING WITH HETEROGENEOUS USER BEHAVIORS . In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2010) ISBN 978-989-8425-30-0, pages 129-135. DOI: 10.5220/0003062801290135

in Bibtex Style

@conference{kmis10,
author={Rafael Alonso and Philip Bramsen and Hua Li},
title={INCREMENTAL USER MODELING WITH HETEROGENEOUS USER BEHAVIORS},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2010)},
year={2010},
pages={129-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003062801290135},
isbn={978-989-8425-30-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2010)
TI - INCREMENTAL USER MODELING WITH HETEROGENEOUS USER BEHAVIORS
SN - 978-989-8425-30-0
AU - Alonso R.
AU - Bramsen P.
AU - Li H.
PY - 2010
SP - 129
EP - 135
DO - 10.5220/0003062801290135