Towards Similarity-Aware Constraint-Based Recommendation

Müslüm Atas, Thi Ngoc Trang Tran, Alexander Felfernig, Seda Polat Erdeniz, Ralph Samer, Martin Stettinger

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


Constraint-based recommender systems help users to identify useful objects and services based on a given set of constraints. These decision support systems are often applied in complex domains where millions of possible recommendations exist. One major challenge of constraint-based recommenders is the identification of recommendations which are similar to the user’s requirements. Especially, in cases where the user requirements are inconsistent with the underlying constraint set, constraint-based recommender systems have to identify and apply the most suitable diagnosis in order to identify a recommendation and to increase the user’s satisfaction with the recommendation. Given this motivation, we developed two different approaches which provide similar recommendations to users based on their requirements even when the user’s preferences are inconsistent with the underlying constraint set. We tested our approaches with two real-world datasets and evaluated them with respect to the runtime performance and the degree of similarity between the original requirements and the identified recommendation. The results of our evaluation show that both approaches are able to identify recommendations of similar solutions in a highly efficient manner.
Original languageEnglish
Title of host publicationAdvances and Trends in Artificial Intelligence
Subtitle of host publicationFrom Theory to Practice
Place of PublicationCham
Number of pages13
ISBN (Print)978-3-030-22998-6
Publication statusPublished - 2019
Event32nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems - Graz, Austria
Duration: 9 Jul 201911 Jul 2019

Publication series

NameLecture Notes in Computer Science


Conference32nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems
Abbreviated titleIEA/AIE 2019


  • decision support systems
  • constraint-based recommender systems
  • similarity measures
  • recommendation similarity


Dive into the research topics of 'Towards Similarity-Aware Constraint-Based Recommendation'. Together they form a unique fingerprint.

Cite this