Personal Publication Assistant: Abstract recommendations by a cognitive model

Authors:
Leendert Van Maanen;Hedderik Van Rijn;Maarten Van Grootel;Stephanie Kemna;Martin Klomp;Erwin Scholtens
Affiliations:
Department of Artificial Intelligence, University of Groningen, P.O. Box 407, NL-9700 AK Groningen, The Netherlands;Department of Artificial Intelligence, University of Groningen, P.O. Box 407, NL-9700 AK Groningen, The Netherlands;Department of Artificial Intelligence, University of Groningen, P.O. Box 407, NL-9700 AK Groningen, The Netherlands;Department of Artificial Intelligence, University of Groningen, P.O. Box 407, NL-9700 AK Groningen, The Netherlands;Department of Artificial Intelligence, University of Groningen, P.O. Box 407, NL-9700 AK Groningen, The Netherlands;Department of Artificial Intelligence, University of Groningen, P.O. Box 407, NL-9700 AK Groningen, The Netherlands
Venue:
Cognitive Systems Research
Year:
2010

Citing 9
Cited 1

Unified theories of cognition

Unified theories of cognition
Automating the assignment of submitted manuscripts to reviewers

SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Personalized information delivery: an analysis of information filtering methods

Communications of the ACM - Special issue on information filtering
Introduction to Modern Information Retrieval

Introduction to Modern Information Retrieval
Genetic Algorithms and Machine Learning

Machine Learning
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL

EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Tracing Problem Solving in Real Time: fMRI Analysis of the Subject-paced Tower of Hanoi

Journal of Cognitive Neuroscience
SNIF-ACT: a cognitive model of user navigation on the world wide web

Human-Computer Interaction
SNIF-ACT: a model of information foraging on the world wide web

UM'03 Proceedings of the 9th international conference on User modeling

Sound event recognition through expectancy-based evaluation ofsignal-driven hypotheses

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper discusses an analysis of how scientists select relevant publications, and an application that can assist scientists in this information selection task. The application, called the Personal Publication Assistant, is based on the assumption that successful information selection is driven by recognizing familiar terms. To adapt itself to a researcher's interests, the system takes into account what words have been used in a particular researcher's abstracts, and when these words have been used. The user model underlying the Personal Publication Assistant is based on a rational analysis of memory, and takes the form of a model of declarative memory as developed for the cognitive architecture ACT-R. We discuss an experiment testing the assumptions of this model and present a user study that validates the implementation of the Personal Publication Assistant. The user study shows that the Personal Publication Assistant can successfully make an initial selection of relevant papers from a large collection of scientific literature.