Publications (library)

Kowald, D., Traub, M., Theiler, D., Gursch, H., Lindstaedt, S., Kern, R., & Lex, E. Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets.
In REVEAL Workshop co-located with ACM Conference on Recommender Systems (RecSys'2019). 2019
Kowald, D., Lacic, E., Theiler, D. & Lex, E. AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments..
In Social Interaction-Based Recommender Systems (SIR'2018) Workshop co-located with Conference on Information and Knowledge Management (CIKM'2018) conference. 2018
Lacic, E., Kowald, D. & Lex, E. Tailoring Recommendations for a Multi-Domain Environment.
In Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning (RecSysKTL'2017) co-located with the 11th ACM Conference on Recommender Systems (RecSys'2017). CEUR-WS. 2017
Lacic, E. Real-Time Recommendations in a Multi-Domain Environment.
ACM SIGWEB Newsletter, 2017
Kowald, D., Kopeinik, S., & Lex, E. The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems.
In Adjunct Publication of the 25th Conference on User Modeling, Adapation and Personalization (UMAP'2017). ACM. 2017.
Lacic, E. Real-Time Recommendations in a Multi-Domain Environment.
In Extended Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT'2016). CEUR-WS. 2016
Lacic, E., Traub, M., Kowald, D., & Lex, E. ScaR: Towards a Real-Time Recommender Framework Following the Microservices Architecture.
In Workshop on Large Scale Recommender Systems (LSRS'2015) co-located with the 9th ACM Conference on Recommender Systems (RecSys'2015). ACM. 2015.
Lacic, E., Kowald, D., Parra, D., Kahr, M., & Trattner, C. Towards a scalable social recommender engine for online marketplaces: The case of apache solr.
In Proceedings of the 23rd International Conference on World Wide Web. ACM. 2014
Lacic, E., Kowald, D., & Trattner, C. Socrecm: A scalable social recommender engine for online marketplaces.
In Proceedings of the 25th ACM conference on Hypertext and social media. ACM. 2014

Publications (algos & eval)

Kowald, D., Lacic, E., Theiler, D., Traub, M., Kuffer, L., Lindstaedt, S., & Lex, E. Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric.
In REVEAL Workshop co-located with ACM Conference on Recommender Systems (RecSys'2019). ACM. 2019.
Kowald, D., Seitlinger, P., Ley, T., & Lex, E. The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study.
In Companion Proceedings of the 27th International World Wide Web Conference (WWW'2018). ACM. 2018.
Lex, E., Ross-Hellauer, T., & Kowald, D. Recommender Systems as Enabling Technology to Interlink Scholarly Information.
Workshop on Researcher Centric Scholarly Communication at the 27th International World Wide Web Conference (WWW'2018). ACM. 2018.
Lacic, E., Kowald, D., Reiter-Haas, M., Slawicek, V. & Lex, E. Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendation.
In the International Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP'2018) co-located with the 11th ACM International Conference on Web Search and Data Mining (WSDM'2018)
Reiter-Haas, M., Slawicek, V. & Lacic, E. Studo Jobs: Enriching Data With Predicted Job Labels..
In Workshop on Recommender Systems and Social Network Analysis (RS-SNA'2017) co-located with i-KNOW'2017
Kowald, D., Pujari, S., & Lex, E. Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach.
In Proceedings of the 26th International World Wide Web Conference (WWW‘2017). ACM. 2017.
Seitlinger, P., Ley, T., Kowald, D., Theiler, D., Hasani-Mavriqi, I., Dennerlein, S., Lex, E., & Albert, D. Balancing the Fluency-Consistency Tradeoff in Collaborative Information Search with a Recommender Approach.
International Journal of Human–Computer Interaction (HCI). 2017.
Kopeinik, S., Kowald, D., Hasani-Mavriqi, I., & Lex, E. Improving Collaborative Filtering Using a Cognitive Model of Human Category Learning.
The Journal of Web Science (JWS). Vol. 2, No 1. 2017.
Trattner, C., Kowald, D., Seitlinger, P., Kopeinik, S. & Ley, T. Modeling Activation Processes in Human Memory to Predict the Reuse of Tags.
Vol. 2, No. 1, pp 1 – 18. 2016.
Traub, M., Lacic, E., Kowald, D., Kahr, M., & Lex, E. Need Help? Recommending Social Care Institutions.
In Workshop on Recommender Systems and Big Data Analytics (RSBDA'2016) co-located with i-KNOW'2016.
Kopeinik, S., Kowald, D., & Lex, E. Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL.
In Proceedings of the 11th European Conference on Technology Enhanced Learning (EC-TEL’2016). Springer. 2016.
Kowald, D., & Lex, E. The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems.
In Proceedings of the 27th International Conference on Hypertext and Social Media (HT’2016). ACM. 2016.
Lacic, E., Kowald, D., Traub, M., Luzhnica, G., Simon, J., & Lex, E. Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems.
In Proceedings of the 9th ACM Conference on Recommender Systems (RecSys'2015). CEUR-WS. 2015
Traub, M., Kowald, D., Lacic, E., Schoen, P., Supp, G., & Lex, E. Smart booking without looking: providing hotel recommendations in the TripRebel portal.
In Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW'2015). (best demo honourable mention) ACM. 2015
Lacic, E., Kowald, D., Eberhard, L., Trattner, C., Parra, D., & Marinho, L. B. Utilizing online social network and location-based data to recommend products and categories in online marketplaces.
In Mining, Modeling, and Recommending'Things' in Social Media. Springer International Publishing. 2015
Kowald, D., & Lex, E. Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study..
In Proceedings of the 9th ACM Conference on Recommender Systems (RecSys’2015). 2015.
Seitlinger, P., Kowald, D., Kopeinik, S., Hasani-Mavriqi, I., Ley, T., & Lex, E. Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics.
In Proceedings of the companion publication of the 24th international conference on World wide web companion (WWW’2015). International World Wide Web Conferences Steering Committee. 2015.
Kowald, D., Seitlinger, P., Trattner, C., & Ley, T. Long Time no See: The Probability of Reusing Tags as a Function of Frequency and Recency.
In Proceedings of the companion publication of the 23rd international conference on World wide web companion (WWW’2014), pp. 463-468. International World Wide Web Conferences Steering Committee. 2014.
Lacic, E., Kowald, D., Seitlinger, P., Trattner, C., & Parra, D. Recommending items in social tagging systems using tag and time information.
In Proceedings of the 1st International Workshop on Social Personalisation (SP'2014) co-located with the 25th ACM Conference on Hypertext and Social Media (HT'2014). CEUR-WS. 2014
Seitlinger, P., Kowald, D., Trattner, C., & Ley, T. Recommending tags with a model of human categorization.
In Proceedings of the 22nd ACM international conference on information & knowledge management (CIKM’2013) ,pp. 2381-2386. ACM. 2013.