User Profile Generation Based on a Memory Retrieval Theory

Fabio Gasparetti, Alessandro Micarelli

Abstract

Several statistical approaches for user profiling have been proposed in order to recognize users’ information needs during their interaction with information sources. Human memory processes in terms of learning and retrieval are with no doubt some of the fundamental elements that take part during this interaction, but actually only a few models for user profiling have been devised considering explicitly these processes. For this reason, a new approach for user modeling is proposed and evaluated. The grounds in the well-studied Search of Associative Memory (SAM) model provides a clear definition of the structure to store information and the processes of learning and retrieval. These assets are missing in other works based for example on simplified versions of semantic memory models and co-occurrence data.

References

  1. Magnini, B., Strapparava, C.: User modelling for news web sites with word sense based techniques. User Modeling and User-Adapted Interaction 14 (2004) 239-257
  2. Asnicar, F.A., Tasso, C.: ifweb: a prototype of user model-based intelligent agent for document filtering and navigation in the world wide web. In: Proceedings of Workshop Adaptive Systems and User Modeling on the World Wide Web (UM97), Sardinia, Italy (1997) 3-12
  3. Pirolli, P., Fu, W.T.: Snif-act: A model of information foraging on the world wide web. In: Proceedings of the 9th International Conference on User Modeling, Johnstown, PA, USA (2003)
  4. Blackmon, M.H., Polson, P.G., Kitajima, M., Lewis, C.: Cognitive walkthrough for the web. In: Proceedings of the ACM conference on human factors in computing systems (CHI2002), Minneapolis, Minnesota, USA (2003) 463-470
  5. Raaijmakers, J.G., Shiffrin, R.M.: Search of associative memory. Psychological Review 88 (1981) 93-134
  6. Atkinson, R.C., Shiffrin, R.M.: Human memory: A proposed system and its control processes. In Spence, K., Spence, J., eds.: The psychology of learning and motivation: Advances in research and theory. Volume 2. Academic Press, New York, USA (1968) 89-195
  7. Waern, A.: User involvement in automatic filtering: An experimental study. User Modeling and User-Adapted Interaction 14 (2004) 201-237
  8. Chi, E.H., Pirolli, P., Pitkow, J.: The scent of a site: A system for analyzing and predicting information scent, usage, and usability of a web site. In: Proceedings of the Conference on Human Factors in Computing Systems (CHI2000), Hague, Netherlands (2000) 161-168
  9. Chi, E.H., Pirolli, P., Chen, K., Pitkow, J.: Using information scent to model user information needs and actions on the web. In: Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI2001), Seattle, WA, USA (2001) 490-497
  10. Pirolli, P., Card, S.K.: Information foraging. Psychological Review 106 (1999) 643-675
  11. Hearst, M.A.: Texttiling: Segmenting text into multi-paragraph subtopic passages. Computational Linguistics 23 (1997) 33-64
Download


Paper Citation


in Harvard Style

Gasparetti F. and Micarelli A. (2005). User Profile Generation Based on a Memory Retrieval Theory . In Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces - Volume 1: WPRSIUI, (ICETE 2005) ISBN 972-8865-38-4, pages 59-68. DOI: 10.5220/0001422500590068


in Bibtex Style

@conference{wprsiui05,
author={Fabio Gasparetti and Alessandro Micarelli},
title={User Profile Generation Based on a Memory Retrieval Theory},
booktitle={Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces - Volume 1: WPRSIUI, (ICETE 2005)},
year={2005},
pages={59-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001422500590068},
isbn={972-8865-38-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces - Volume 1: WPRSIUI, (ICETE 2005)
TI - User Profile Generation Based on a Memory Retrieval Theory
SN - 972-8865-38-4
AU - Gasparetti F.
AU - Micarelli A.
PY - 2005
SP - 59
EP - 68
DO - 10.5220/0001422500590068