Volume 5, Issue 4, August 2012, Pages 775 - 788
A Fuzzy-Rule-Based Model for Handling Contextual Preference Queries
Authors
Allel Hadjali, Amine Mokhtari, Olivier Pivert
Corresponding Author
Allel Hadjali
Received 9 July 2012, Accepted 18 July 2012, Available Online 1 August 2012.
- DOI
- 10.1080/18756891.2012.718160How to use a DOI?
- Keywords
- Preferences, Context, Fuzzy rules, Query augmentation
- Abstract
Users’ preferences have traditionally been exploited in query personalization to better serve their information needs. Most of the time, user preferences depend on context, that is, they may have different values depending on the situation of the user. In this paper, we propose a fuzzy-rule-based model for the representation of contextual preferences in a database querying framework. We discuss the augmentation of a query with preferences deduced from information regarding the current context of the user. To this end, we make use of an appropriate inference pattern, called , able to deal with data and knowledge when they are described in a fuzzy way.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Allel Hadjali AU - Amine Mokhtari AU - Olivier Pivert PY - 2012 DA - 2012/08/01 TI - A Fuzzy-Rule-Based Model for Handling Contextual Preference Queries JO - International Journal of Computational Intelligence Systems SP - 775 EP - 788 VL - 5 IS - 4 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2012.718160 DO - 10.1080/18756891.2012.718160 ID - Hadjali2012 ER -