| Demands on task recommendation in crowdsourcing platforms-the worker’s perspective S Schnitzer, C Rensing, S Schmidt, K Borchert, M Hirth, P Tran-Gia CrowdRec Workshop, 2015 | 35 | 2015 |
| Text classification based filters for a domain-specific search engine S Schmidt, S Schnitzer, C Rensing Computers in Industry 78, 70-79, 2016 | 30 | 2016 |
| Perceived task similarities for task recommendation in crowdsourcing systems S Schnitzer, S Neitzel, S Schmidt, C Rensing Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 15 | 2016 |
| Combining active and ensemble learning for efficient classification of web documents S Schnitzer, S Schmidt, C Rensing, B Harriehausen-Miihlbauer Polibits, 39-46, 2014 | 13 | 2014 |
| From task classification towards similarity measures for recommendation in crowdsourcing systems S Schnitzer, S Neitzel, C Rensing arXiv preprint arXiv:1707.06562, 2017 | 7 | 2017 |
| Impact of task recommendation systems in crowdsourcing platforms K Borchert, M Hirth, S Schnitzer, C Rensing FATREC Workshop on Responsible Recommendation Proceedings, 10, 2017 | 6 | 2017 |
| Preselection of documents for personalized recommendations of job postings based on word embeddings S Schnitzer, D Reis, W Alkhatib, C Rensing, R Steinmetz Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1683-1686, 2019 | 5 | 2019 |
| Domain-independent sentence type classification: examining the scenarios of scientific abstracts and scrum protocols S Schmidt, S Schnitzer, C Rensing Proceedings of the 14th International Conference on Knowledge Technologies …, 2014 | 4 | 2014 |
| Task Recommendation in Crowdsourcing Platforms S Schnitzer Technische Universität, 2019 | 3 | 2019 |
| Effective classification of ambiguous web documents incorporating human feedback efficiently S Schnitzer, S Schmidt, C Rensing, B Harriehausen-Mühlbauer Faculty of Computer Science, University of Applied Sciences Darmstadt …, 2013 | 3 | 2013 |
| Training-Less Multi-label Text Classification Using Knowledge Bases and Word Embeddings W Alkhatib, S Schnitzer, C Rensing Knowledge Science, Engineering and Management: 12th International Conference …, 2019 | 2 | 2019 |
| Ensuring Novelty and Transparency in Learning Resource-Recommendation Based on Deep Learning Techniques W Alkhatib, E Araache, C Rensing, S Schnitzer Lifelong Technology-Enhanced Learning: 13th European Conference on …, 2018 | 2 | 2018 |
| A Literature Review on the Design of Enterprise Crowdsourcing Platforms S Schnitzer, N Islam, C Borg-Krebs, C Rensing Tech. rep. KOM-TR-2017-02. Darmstadt, Germany: TU Darmstadt, 2017. url …, 0 | 1 | |
| Unsupervised Query-based Document Recommendation Using Deep Learning W Alkhatib, S Schnitzer, T Steuer, C Rensing | | 2019 |
| Task Recommendation in Crowdsourcing Platforms: Worker Centered Approaches for Task Assignment and Recommendation in Online Task Markets Based on Textual Descriptions SM Schnitzer Technische Universität Darmstadt, 2019 | | 2019 |
| Results of a Survey About the Perceived Task Similarities in Micro Task Crowdsourcing Systems S Schnitzer, S Neitzel, S Schmidt, C Rensing Behavioral Analytics in Social and Ubiquitous Environments: 6th …, 2019 | | 2019 |
| Generic Sentence Classification: Examining the Scenario of Scientific S Schmidt, S Schnitzer, C Rensing | | 2014 |
| Comparison of Feature Selection Techniques for Multi-label Text Classification against a New Semantic-based Method W Alkhatib, S Schnitzer, W Ding, P Jiang, Y ALkhalili, C Rensing | | |
Christoph RensingTechnische Universität DarmstadtVerified email at tu-darmstadt.de
