A Flexible Approach to Matching User Preferences with Records in Datasets based on the Conformance Measure and Aggregation Functions

Miljan Vučetić, Miroslav Hudec

2018

Abstract

Matching user preferences with content in datasets is an important task in building robust query engines. However, this is still a challenging task, because the entities’ attributes are often expressed by various data types including numerical, categorical, and fuzzy data. Moreover, the user’s preferences and data types for particular attributes may not collide, i.e. the user explains his requirements in linguistic term(s), whereas the respective attribute is recorded as a real number and vice versa. Further, the user may provide different relevancies for atomic conditions, where usual one-directional reinforcement aggregation functions, e.g. conjunction, are not suitable. In this paper, we propose a robust framework capable to manage user requirements and match them with records in a dataset. The former is solved by conformance measure, whereas for the latter the suitable aggregation functions have been suggested to cover particular aggregation needs. Finally, we discuss benefits, drawbacks and outline further activities.

Paper Citation

in Harvard Style

Vučetić M. and Hudec M. (2018). A Flexible Approach to Matching User Preferences with Records in Datasets based on the Conformance Measure and Aggregation Functions. In Proceedings of the 10th International Joint Conference on Computational Intelligence (IJCCI 2018) - Volume 1: IJCCI; ISBN 978-989-758-327-8, SciTePress, pages 168-175. DOI: 10.5220/0006925801680175

in Bibtex Style

@conference{ijcci18,
author={Miljan Vučetić and Miroslav Hudec},
title={A Flexible Approach to Matching User Preferences with Records in Datasets based on the Conformance Measure and Aggregation Functions},
booktitle={Proceedings of the 10th International Joint Conference on Computational Intelligence (IJCCI 2018) - Volume 1: IJCCI},
year={2018},
pages={168-175},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006925801680175},
isbn={978-989-758-327-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Computational Intelligence (IJCCI 2018) - Volume 1: IJCCI
TI - A Flexible Approach to Matching User Preferences with Records in Datasets based on the Conformance Measure and Aggregation Functions
SN - 978-989-758-327-8
AU - Vučetić M.
AU - Hudec M.
PY - 2018
SP - 168
EP - 175
DO - 10.5220/0006925801680175
PB - SciTePress