Recommender Systems

IUadaptMe 2018: Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation
Workshop on Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe 2018) at UMAP 2018.
Ilknur Celik, Ilaria Torre, Frosina Koceva, Christine Bauer, Eva Zangerle, Bart P. Knijnenburg
8 July 2018 Event
Project DOI
Article in DER STANDARD on my Elise Richter FWF project

The Austrian newspaper DER STANDARD reported on my Elise Richter FWF project Fine-grained culture-aware music recommender systems.
Here is the link to the article (in German).

19 March 2018 1 min read News
Project
Information imbalance and responsibility in recommender systems
In the field of music recommender systems, country-specific aspects have received little attention, although it is known that music …
Christine Bauer, Eva Zangerle
PDF Cite
Workshop on Multi-Method Evaluation of Personalized Systems (MuMe 2018)

Together with Eva Zangerle and Bart Knijnenburg, I will organize a workshop on Multi-Method Evaluation of Personalized Systems (MuMe 2018) in scope of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP 2018) in Singapore!
More information can soon be found on our workshop website at https://multimethods.info.

Ilknur Celik, Ilaria Torre, Frosina Koceva, Christine Bauer, Eva Zangerle, Bart Knijnenburg (2018). UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation (IUadaptMe) Workshop Chairs' Welcome & Organization. 26th Conference on User Modeling, Adaptation and Personalization (UMAP 2018).

PDF Cite Project DOI ACM Author-izer CORE 2023: B GGS 2021: B

2 February 2018 1 min read News
Best Paper Award at MoMM 2017

Markus Schedl and me, we received the Best Paper Award at MoMM 2017 for our article entitled ‘‘Introducing global and regional mainstreaminess for improving personalized music recommendation’’.

Markus Schedl, Christine Bauer (2017). Introducing global and regional mainstreaminess for improving personalized music recommendation. 15th International Conference on Advances in Mobile Computing & Multimedia (MoMM 2017).

PDF Cite Project Slides DOI ACM Author-izer CORE 2023: C Best Paper Award

16 December 2017 1 min read News
Introducing surprise and opposition by design in recommender systems
There is a long tradition in recommender systems research to evaluate systems using quantitative performance measures on fixed …
Christine Bauer, Markus Schedl
PDF Cite Project Slides DOI ACM Author-izer
Music recommender systems: challenges and opportunities for non-superstar artists
Music Recommender Systems (MRS) are important drivers in music industry and are widely adopted by music platforms. Other than most MRS …
Christine Bauer, Marta Kholodylo, Christine Strauss
PDF Cite Project DOI