Social Choice-based Explanations: An Approach to Enhancing Fairness and Consensus Aspects

Autor: Thi Ngoc Trang Tran, Muesluem Atas, Man Le, Ralph Samer, Martin Stettinger

Publikováno v: Journal of Universal Computer Science, Vol 26, Iss 3, Pp 402-431 (2020)

Explanations are integrated into recommender systems to give users an insight into the recommendation generation process. Compared to single-user recommender systems, explanations in group recommender systems have further goals. Examples thereof are

Externí odkaz: https://doaj.org/article/4e98a68b9dd04351bac242712b718e65

Matrix Factorization Based Heuristics Learning for Solving Constraint Satisfaction Problems

Autor: Muesluem Atas, Ralph Samer, Seda Polat Erdeniz

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030594909
ISMIS

In configuration systems, and especially in Constraint Satisfaction Problems (CSP), heuristics are widely used and commonly referred to as variable and value ordering heuristics. The main challenges of those systems are: producing high quality config

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c8f9dc49f1d7014a4f8153c21dc135dc
https://doi.org/10.1007/978-3-030-59491-6_27

User Interfaces for Counteracting Decision Manipulation in Group Recommender Systems

Autor: Viet Man Le, Martin Stettinger, Ralph Samer, Thi Ngoc Trang Tran, Alexander Felfernig, Müslüm Atas

Publikováno v: UMAP (Adjunct Publication)
Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization-UMAP19 Adjunct
Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization -UMAP'19 Adjunct
Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization-UMAP'19 Adjunct

In group recommender systems,decision manipulation refers to an attack in which a group member makes attempts to push his/her favorite options. In this paper, we propose user interfaces to counteract decision manipulation in group recommender systems

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d043f4de163ea9298424c3f5ba91b905
https://doi.org/10.1145/3314183.3324977

Matrix factorization based heuristics for constraint-based recommenders

Autor: Muesluem Atas, Ralph Samer, Seda Polat Erdeniz, Alexander Felfernig

Publikováno v: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing-SAC 19
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing -SAC '19
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
SAC

The main challenges for recommender systems are: producing high quality recommendations and performing many real-time recommendations per second for millions of customers and products. This paper addresses both challenges in the context of constraint

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1c94ea9bcc743503f6b95c000b66a77

Using a feature model configurator for release planning

Autor: Ralph Samer, Tomi Männistö, Martin Stettinger, Mikko Raatikainen, Juha Tiihonen, Alexander Felfernig

Publikováno v: SPLC (2)
Proceedings of the 22nd International Systems and Software Product Line Conference-Volume 2
Proceeedings of the 22nd International Conference on Systems and Software Product Line-SPLC 18-Volume 2
Proceeedings of the 22nd International Conference on Systems and Software Product Line-SPLC '18-Volume 2

The requirements for a system have many dependencies that can be expressed in the individual requirements managed in an issue tracker or a requirements management system. However, managing the entire body of requirements taking into account all compl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56e653ae4a3166984c5a096405b4c4ce
https://doi.org/10.1145/3236405.3236411