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2020 – today
- 2021
[c10]Dietmar Jannach, Mathias Jesse, Michael Jugovac, Christoph Trattner:
Exploring Multi-List User Interfaces for Similar-Item Recommendations. UMAP 2021: 224-228
2010 – 2019
- 2019
- [b1]Michael Jugovac:
Designing and evaluating recommender systems with the user in the loop. Technical University of Dortmund, Germany, 2019 - [j7]Dietmar Jannach
, Michael Jugovac:
Measuring the Business Value of Recommender Systems. ACM Trans. Manag. Inf. Syst. 10(4): 16:1-16:23 (2019) - [c9]Dietmar Jannach, Michael Jugovac, Ingrid Nunes:
Explanations and User Control in Recommender Systems. ABIS@HT 2019: 31 - [i1]Dietmar Jannach, Michael Jugovac:
Measuring the Business Value of Recommender Systems. CoRR abs/1908.08328 (2019) - 2018
- [j6]Mozhgan Karimi, Dietmar Jannach, Michael Jugovac:
News recommender systems - Survey and roads ahead. Inf. Process. Manag. 54(6): 1203-1227 (2018) - [c8]Michael Jugovac, Dietmar Jannach, Mozhgan Karimi:
Streamingrec: a framework for benchmarking stream-based news recommenders. RecSys 2018: 269-273 - [c7]Michael Jugovac, Ingrid Nunes, Dietmar Jannach:
Investigating the Decision-Making Behavior of Maximizers and Satisficers in the Presence of Recommendations. UMAP 2018: 279-283 - 2017
- [j5]Michael Jugovac, Dietmar Jannach, Lukas Lerche:
Efficient optimization of multiple recommendation quality factors according to individual user tendencies. Expert Syst. Appl. 81: 321-331 (2017) - [j4]Michael Jugovac, Dietmar Jannach:
Interacting with Recommenders - Overview and Research Directions. ACM Trans. Interact. Intell. Syst. 7(3): 10:1-10:46 (2017) - [c6]Dietmar Jannach, Ingrid Nunes, Michael Jugovac:
Interacting with Recommender Systems. IUI Companion 2017: 25-27 - 2016
- [j3]Dietmar Jannach, Michael Jugovac, Lukas Lerche:
Supporting the Design of Machine Learning Workflows with a Recommendation System. ACM Trans. Interact. Intell. Syst. 6(1): 8:1-8:35 (2016) - [c5]Dietmar Jannach, Sidra Naveed, Michael Jugovac:
User Control in Recommender Systems: Overview and Interaction Challenges. EC-Web 2016: 21-33 - [c4]Sören Köcher, Dietmar Jannach, Michael Jugovac, Hartmut H. Holzmüller:
Investigating Mere-Presence Effects of Recommendations on the Consumer Choice Process. IntRS@RecSys 2016: 2-5 - 2015
- [j2]Dietmar Jannach, Lukas Lerche, Michael Jugovac:
Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation. i-com 14(1): 29-39 (2015) - [j1]Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh, Michael Jugovac:
What recommenders recommend: an analysis of recommendation biases and possible countermeasures. User Model. User Adapt. Interact. 25(5): 427-491 (2015) - [c3]Dietmar Jannach, Michael Jugovac, Lukas Lerche:
Adaptive Recommendation-based Modeling Support for Data Analysis Workflows. IUI 2015: 252-262 - [c2]Dietmar Jannach, Lukas Lerche, Michael Jugovac:
Adaptation and Evaluation of Recommendations for Short-term Shopping Goals. RecSys 2015: 211-218 - [c1]Dietmar Jannach, Lukas Lerche, Michael Jugovac:
Item Familiarity Effects in User-Centric Evaluations of Recommender Systems. RecSys Posters 2015
Coauthor Index
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