Business Processes Modeling Recommender Systems: User Expectations and Empirical Evidence
Recommender systems are in widespread use in many areas, especially electronic commerce solutions. In this contribution, we apply recommender functionalities to business process modeling and investigate their potential for supporting process modeling. To do so, we have implemented two prototypes, de...
Saved in:
| Main Authors: | Michael Fellmann, Novica Zarvić, Oliver Thomas |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Riga Technical University Press
2018-04-01
|
| Series: | Complex Systems Informatics and Modeling Quarterly |
| Subjects: | |
| Online Access: | https://csimq-journals.rtu.lv/article/view/2122 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A social information sensitive model for conversational recommender systems
by: Abdulaziz Mohammed, et al.
Published: (2025-08-01) -
Collaborative Advertisement Recommendation System Leveraging User Preferences, Geography, and Demographics
by: Djalila Boughareb, et al.
Published: (2025-06-01) -
From Rating Predictions to Reliable Recommendations in Collaborative Filtering: The Concept of Recommendation Reliability Classes
by: Dionisis Margaris, et al.
Published: (2025-04-01) -
Using Adaptive Content Recommendations to Improve Logic and Programming Teaching and Learning
by: Aluizio Haendchen Filho, et al.
Published: (2024-11-01) -
User preference modeling for movie recommendations based on deep learning
by: Yang Gao, et al.
Published: (2025-05-01)