Rafet Sifa - Concepedia

Author

Rafet Sifa

Fraunhofer Institute for Intelligent Analysis and Information Systems ORCID

Also Known As

Julian Runge, R. Sifa, Rafet Sifa, Sifa, Rafet

213

Publications

2.3K

Citations

H-Index

111

Concepts

All Affiliations

Fraunhofer Institute for Intelligent Analysis and Information Systems University of Bonn Aalborg University University of York Graz University of Technology

About

Rafet Sifa is an author at Fraunhofer Institute for Intelligent Analysis and Information Systems specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	25	775
2	Business	10	10	401
3	Arts	9	9	324
4	Language Studies	4	4	120
5	Management	4	4	182

Rafet Sifa

Publications

1.8K

Citations

H-Index

Page 1

	Year	Citations
Guns, swords and data: Clustering of player behavior in computer games in the wild Anders Drachen, Rafet Sifa, Christian Bauckhage,	2012	175
Predicting player churn in the wild Fabian Hadiji, Rafet Sifa, Anders Drachen,	2014	154
Clustering Game Behavior Data Christian Bauckhage, Anders Drachen, Rafet Sifa IEEE Transactions on Computational Intelligence and AI in Games Game AiCluster ComputingEngineeringBusiness IntelligenceGame Theory	2014	104
How players lose interest in playing a game: An empirical study based on distributions of total playing times Christian Bauckhage, Kristian Kersting, Rafet Sifa,	2012	102
Online-only friends, real-life friends or strangers? Differential associations with passion and social capital in video game play Ryan Perry, Anders Drachen, Allison Kearney, Computers in Human Behavior Social IdentityOnline GamesInterpersonal CommunicationOnline GamingSocial Behavior	2017	88
Predicting Purchase Decisions in Mobile Free-to-Play Games Rafet Sifa, Fabian Hadiji, Julian Runge, Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment Marketing AnalyticsCustomer SatisfactionFreemium Mobile ProductsBehavioral Decision MakingDigital Marketing	2015	81
The Playtime Principle: Large-scale cross-games interest modeling Rafet Sifa, Christian Bauckhage, Anders Drachen EngineeringOnline GamingGame TheoryComputational Game TheoryPervasive Game	2014	61
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kianté Brantley, arXiv (Cornell University) Artificial IntelligenceBuilding BlocksEngineeringMachine LearningLarge Language Model	2022	54
Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game Marco Tamassia, William Raffe, Rafet Sifa, Game AiEngineeringGame TheoryBehavior PredictionBusiness Analytics	2016	52
A Comparison of Methods for Player Clustering via Behavioral Telemetry Anders Drachen, Christian Thurau, Rafet Sifa, arXiv (Cornell University) Cluster ComputingEngineeringTemporal SegmentInstalled Game ClientsBehavior Prediction	2014	50

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