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2020 – today

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2024
[j7]
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Pedram Babakhani, Andreas Lommatzsch, Torben Brodt, Doreen Sacker, Fikret Sivrikaya, Sahin Albayrak:
Opinerium: Subjective Question Generation Using Large Language Models. IEEE Access 12: 66085-66099 (2024)
[j6]
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Benjamin Kille, Andreas Lommatzsch, Jürgen Ziegler, Özlem Özgöbek:
Preface to the special issue on news personalization and analytics. User Model. User Adapt. Interact. 34(4): 921-923 (2024)
[c75]
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Benjamin Kille, Andreas Lommatzsch, Célina Treuillier, Vandana Yadav, Özlem Özgöbek:
12th International Workshop on News Recommendation and Analytics (INRA'24). RecSys 2024: 1258-1261
[e7]
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Steven Hicks, Andreas Lommatzsch, Ali Hürriyetoglu, Romain Vuillemot, Mihai Gabriel Constantin, Vajira Thambawita, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2023 Workshop, Amsterdam, The Netherlands and Online, 1-2 February 2024. CEUR Workshop Proceedings 3658, CEUR-WS.org 2024 [contents]
2023
[j5]
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Jing Yuan, Christian Geißler, Weijia Shao, Andreas Lommatzsch, Brijnesh J. Jain:
When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion. Int. J. Data Sci. Anal. 16(2): 173-189 (2023)
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Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Lemei Zhang, Simen Eide:
Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023. SIGIR Forum 57(2): 15:1-15:4 (2023)
[c74]
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Andreas Lommatzsch, Brandon Llanque, Vinay Srinath Rosenberg, Syed Ali Murad Tahir, Hristo Dimitrov Boyadzhiev, Maurice Walny:
Combining Information Retrieval and Large Language Models for a Chatbot that Generates Reliable, Natural-style Answers. LWDA 2023: 298-310
[c73]
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Andreas Lommatzsch, Benjamin Kille, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen:
The Relation between Texts and Images in News: News Images in MediaEval 2023. MediaEval 2023
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Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Simen Eide, Lemei Zhang:
The Eleventh International Workshop on News Recommendation and Analytics (INRA'23). RecSys 2023: 1263-1266
[e6]
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Steven Hicks, Alba García Seco de Herrera, Johannes Langguth, Andreas Lommatzsch, Stelios Andreadis, Minh-Son Dao, Pierre-Etienne Martin, Ali Hürriyetoglu, Vajira Thambawita, Tor-Arne S. Nordmo, Romain Vuillemot, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2022 Workshop, Bergen, Norway and Online, 12-13 January 2023. CEUR Workshop Proceedings 3583, CEUR-WS.org 2023 [contents]
[e5]
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Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Edward C. Malthouse, Jon Atle Gulla, Anett Hoppe, Ran Yu, Jiqun Liu:
Joint Proceedings of the 10th International Workshop on News Recommendation and Analytics (INRA 2022) and the 3rd International Workshop on Investigating Learning During Web Search (IWILDS 2022) co-located with 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, July 15, 2022. CEUR Workshop Proceedings 3411, CEUR-WS.org 2023 [contents]
2022
[c71]
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Jannis Pilgrim, Jakob Kemmler, Moritz Wassmer, Silvio Echsle, Andreas Lommatzsch:
Guiding Users by Dynamically Generating Questions in a Chatbot System. LWDA 2022: 148-160
[c70]
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Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen:
News Images in MediaEval 2022. MediaEval 2022
[c69]
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Andreas Lommatzsch, Benjamin Kille, Özlem Özgöbek, Yuxiao Zhou, Jelena Tesic, Cláudio Bartolomeu, David Semedo, Lidia Pivovarova, Mingliang Liang, Martha A. Larson:
NewsImages: addressing the depiction gap with an online news dataset for text-image rematching. MMSys 2022: 227-233
[c68]
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Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Jon Atle Gulla, Edward C. Malthouse:
The 10th International Workshop on News Recommendation and Analytics (INRA 2022). SIGIR 2022: 3470-3473
[e4]
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Steven Hicks, Konstantin Pogorelov, Andreas Lommatzsch, Alba García Seco de Herrera, Pierre-Etienne Martin, Syed Zohaib Hassan, Alastair Porter, Asem Kasem, Stelios Andreadis, Mathias Lux, Marc Gallofré Ocaña, Alex Liu, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2021 Workshop, Online, 13-15 December 2021. CEUR Workshop Proceedings 3181, CEUR-WS.org 2022 [contents]
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Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla:
Proceedings of the 9th International Workshop on News Recommendation and Analytics (INRA 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, Netherlands, September 27, 2021. CEUR Workshop Proceedings 3143, CEUR-WS.org 2022 [contents]
2021
[c67]
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Kani Abdul, Kiran Kiran, Max Rudat, Alexandros Vasileiou, Andreas Lommatzsch:
Methods for Text-Image-Rematching using Pair-wise Similarity and Canonical Similarity Analysis. MediaEval 2021
[c66]
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Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen:
News Images in MediaEval 2021. MediaEval 2021
[c65]
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Tom Sühr, Ajay Madhavanr, Nasim Jamshidi Avanaki, René Berk, Andreas Lommatzsch:
Image-Text Rematching for News Items using Optimized Embeddings and CNNs in MediaEval NewsImages 2021. MediaEval 2021
[c64]
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Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla:
9th International Workshop on News Recommendation and Analytics. RecSys 2021: 772-774
2020
[c63]
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Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek:
News Images in MediaEval 2020. MediaEval 2020
[e2]
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  - conf/pkdd/2020-w
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Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla:
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents]
[e1]
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Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Andreas Lommatzsch:
Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems, INRA@RecSys 2019, Copenhagen, Denmark, September 20, 2019. CEUR Workshop Proceedings 2554, CEUR-WS.org 2020 [contents]

2010 – 2019

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2019
[c62]
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Andreas Lommatzsch, Benjamin Kille, Kevin Styp-Rekowski, Max Karl, Jan Pommering:
A Framework for Analyzing News Images and Building Multimedia-Based Recommender. I4CS 2019: 184-201
[c61]
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Andreas Lommatzsch, Jonas Katins:
An Information Retrieval-based Approach for Building Intuitive Chatbots for Large Knowledge Bases. LWDA 2019: 343-352
[c60]
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Yashar Deldjoo, Benny Kille, Markus Schedl, Andreas Lommatzsch, Jialie Shen:
The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEval. MediaEval 2019
[c59]
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Benjamin Kille, Andreas Lommatzsch:
Defining a Meaningful Baseline for News Recommender Systems. INRA@RecSys 2019: 24-28
[c58]
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Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Andreas Lommatzsch:
The 7th international workshop on news recommendation and analytics (INRA 2019). RecSys 2019: 558-559
[p1]
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Frank Hopfgartner, Krisztian Balog, Andreas Lommatzsch, Liadh Kelly, Benjamin Kille, Anne Schuth, Martha A. Larson:
Continuous Evaluation of Large-Scale Information Access Systems: A Case for Living Labs. Information Retrieval Evaluation in a Changing World 2019: 511-543
2018
[c57]
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Benjamin Kille, Özlem Özgöbek, Andreas Lommatzsch:
Defining Contextual Factors for News Consumption. CIKM Workshops 2018
[c56]
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Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Martha A. Larson, Andreas Lommatzsch:
6th International Workshop on News Recommendation and Analytics (INRA 2018). CIKM Workshops 2018
[c55]
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Andreas Lommatzsch:
A Next Generation Chatbot-Framework for the Public Administration. I4CS 2018: 127-141
[c54]
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Alexandru Ciobanu, Asmaa Haja, Andreas Lommatzsch:
Normalization of Timeseries for Improving Recommendations. LWDA 2018: 84-92
[c53]
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Alexandru Ciobanu, Andreas Lommatzsch, Benjamin Kille:
Predicting the Interest in News Based on Image Annotations. MediaEval 2018
[c52]
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Andreas Lommatzsch, Benjamin Kille:
Baseline Algorithms for Predicting the Interest in News Based on Multimedia-Data. MediaEval 2018
[c51]
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Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Leif Ramming:
NewsREEL Multimedia at MediaEval 2018: News Recommendation with Image and Text Content. MediaEval 2018
2017
[c50]
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Paul David Beck, Manuel Blaser, Adrian Michalke, Andreas Lommatzsch:
A System for Online News Recommendations in Real-Time with Apache Mahout. CLEF (Working Notes) 2017
[c49]
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Jaschar Domann, Andreas Lommatzsch:
A Highly Available Real-Time News Recommender Based on Apache Spark. CLEF 2017: 161-172
[c48]
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Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Torben Brodt:
CLEF 2017 NewsREEL Overview: Offline and Online Evaluation of Stream-based News Recommender Systems. CLEF (Working Notes) 2017
[c47]
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Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha A. Larson, Torben Brodt, Jonas Seiler, Özlem Özgöbek:
CLEF 2017 NewsREEL Overview: A Stream-Based Recommender Task for Evaluation and Education. CLEF 2017: 239-254
[c46]
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Andreas Lommatzsch, Florian Bütow, Danuta Ploch, Sahin Albayrak:
Towards the Automatic Sentiment Analysis of German News and Forum Documents. I4CS 2017: 18-33
[c45]
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Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Arjen P. de Vries:
A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms. SIGIR 2017: 1257-1260
[c44]
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Felix Lorenz, Jing Yuan, Andreas Lommatzsch, Mu Mu, Nicholas J. P. Race, Frank Hopfgartner, Sahin Albayrak:
Countering Contextual Bias in TV Watching Behavior: Introducing Social Trend as External Contextual Factor in TV Recommenders. TVX 2017: 21-30
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Andreas Lommatzsch, Benjamin Kille, Sahin Albayrak:
Incorporating context and trends in news recommender systems. WI 2017: 1062-1068
[i1]
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Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage:
The Slashdot Zoo: Mining a Social Network with Negative Edges. CoRR abs/1710.11395 (2017)
2016
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Jöran Beel, Corinna Breitinger, Stefan Langer, Andreas Lommatzsch, Bela Gipp:
Towards reproducibility in recommender-systems research. User Model. User Adapt. Interact. 26(1): 69-101 (2016)
[c42]
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  - conf/acl/PlochLS16
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Danuta Ploch, Andreas Lommatzsch, Florian Schultze:
An Advanced Press Review System Combining Deep News Analysis and Machine Learning Algorithms. ACL (System Demonstrations) 2016: 109-114
[c41]
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Benjamin Kille, Andreas Lommatzsch, Gebrekirstos G. Gebremeskel, Frank Hopfgartner, Martha A. Larson, Jonas Seiler, Davide Malagoli, András Serény, Torben Brodt, Arjen P. de Vries:
Overview of NewsREEL'16: Multi-dimensional Evaluation of Real-Time Stream-Recommendation Algorithms. CLEF 2016: 311-331
[c40]
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Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Jonas Seiler, Davide Malagoli, András Serény, Torben Brodt:
CLEF NewsREEL 2016: Comparing Multi-dimensional Offline and Online Evaluation of News Recommender Systems. CLEF (Working Notes) 2016: 593-605
[c39]
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Alexandru Ciobanu, Andreas Lommatzsch:
Development of a News Recommender System based on Apache Flink. CLEF (Working Notes) 2016: 606-617
[c38]
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Jaschar Domann, Jens Meiners, Lea Helmers, Andreas Lommatzsch:
Real-time News Recommendations using Apache Spark. CLEF (Working Notes) 2016: 628-641
[c37]
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Andreas Lommatzsch, Niels Johannes, Jens Meiners, Lea Helmers, Jaschar Domann:
Recommender Ensembles for News Articles based on Most-Popular Strategies. CLEF (Working Notes) 2016: 657-668
[c36]
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Patrick Probst, Andreas Lommatzsch:
Optimizing a Scalable News Recommender System. CLEF (Working Notes) 2016: 669-678
[c35]
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Jing Yuan, Andreas Lommatzsch, Benjamin Kille:
Clicks Pattern Analysis for Online News Recommendation Systems. CLEF (Working Notes) 2016: 679-690
[c34]
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Jens Meiners, Andreas Lommatzsch:
Topic Tracking in News Streams Using Latent Factor Models. I4CS 2016: 173-191
[c33]
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Malte Schwarzer, Jonas Düver, Danuta Ploch, Andreas Lommatzsch:
An Interactive e-Government Question Answering System. LWDA 2016: 74-82
[c32]
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Tobias Dörsch, Andreas Lommatzsch:
Topical Video-On-Demand Recommendations based on Event Detection. LWDA 2016: 186-193
[c31]
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  - conf/recsys/MotajcsekMLKLTA16
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Tamas Motajcsek, Jean-Yves Le Moine, Martha A. Larson, Daniel Kohlsdorf, Andreas Lommatzsch, Domonkos Tikk, Omar Alonso, Paolo Cremonesi, Andrew M. Demetriou, Kristaps Dobrajs, Franca Garzotto, Ayse Göker, Frank Hopfgartner, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic, Anna Zacchi:
Algorithms Aside: Recommendation As The Lens Of Life. RecSys 2016: 215-219
[c30]
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Christian Rakow, Andreas Lommatzsch, Till Plumbaum:
Topical Semantic Recommendations for Auteur Films. RecSys 2016: 403-404
[c29]
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Mario Scriminaci, Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha A. Larson, Davide Malagoli, András Serény, Till Plumbaum:
Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms. RecSys Posters 2016
2015
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Frank Hopfgartner, Torben Brodt, Jonas Seiler, Benjamin Kille, Andreas Lommatzsch, Martha A. Larson, Roberto Turrin, András Serény:
Benchmarking News Recommendations: The CLEF NewsREEL Use Case. SIGIR Forum 49(2): 129-136 (2015)
[c28]
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Benjamin Kille, Andreas Lommatzsch, Roberto Turrin, András Serény, Martha A. Larson, Torben Brodt, Jonas Seiler, Frank Hopfgartner:
Overview of CLEF NewsREEL 2015: News Recommendation Evaluation Lab. CLEF (Working Notes) 2015
[c27]
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Andreas Lommatzsch, Sebastian Werner:
Optimizing and Evaluating Stream-Based News Recommendation Algorithms. CLEF 2015: 376-388
[c26]
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Benjamin Kille, Andreas Lommatzsch, Roberto Turrin, András Serény, Martha A. Larson, Torben Brodt, Jonas Seiler, Frank Hopfgartner:
Stream-Based Recommendations: Online and Offline Evaluation as a Service. CLEF 2015: 497-517
[c25]
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Ilya Verbitskiy, Patrick Probst, Andreas Lommatzsch:
Development and Evaluation of a Highly Scalable News Recommender System. CLEF (Working Notes) 2015
[c24]
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Andreas Lommatzsch, Sahin Albayrak:
Real-time recommendations for user-item streams. SAC 2015: 1039-1046
2014
[c23]
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Frank Hopfgartner, Benjamin Kille, Andreas Lommatzsch, Till Plumbaum, Torben Brodt, Tobias Heintz:
Benchmarking News Recommendations in a Living Lab. CLEF 2014: 250-267
[c22]
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Sebastian Werner, Andreas Lommatzsch:
Optimizing and Evaluating Stream-based News Recommendation Algorithms. CLEF (Working Notes) 2014: 813-824
[c21]
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Andreas Lommatzsch:
Real-Time News Recommendation Using Context-Aware Ensembles. ECIR 2014: 51-62
[c20]
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Alan Said, Babak Loni, Roberto Turrin, Andreas Lommatzsch:
An Extended Data Model Format for Composite Recommendation. RecSys Posters 2014
[c19]
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Sebastian Arnold, Damian Burke, Tobias Dörsch, Bernd Löber, Andreas Lommatzsch:
News Visualization based on Semantic Knowledge. ISWC (Posters & Demos) 2014: 5-8
2013
[c18]
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Mozhgan Tavakolifard, Jon Atle Gulla, Kevin C. Almeroth, Frank Hopfgartner, Benjamin Kille, Till Plumbaum, Andreas Lommatzsch, Torben Brodt, Arthur Bucko, Tobias Heintz:
Workshop and challenge on news recommender systems. RecSys 2013: 481-482
[c17]
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Andreas Lommatzsch, Benjamin Kille, Sahin Albayrak:
A framework for learning and analyzing hybrid recommenders based on heterogeneous semantic data. OAIR 2013: 137-140
[c16]
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Andreas Lommatzsch, Benjamin Kille, Jae Won Kim, Sahin Albayrak:
An adaptive hybrid movie recommender based on semantic data. OAIR 2013: 217-218
[c15]
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Andreas Lommatzsch, Benjamin Kille, Sahin Albayrak:
Learning hybrid recommender models for heterogeneous semantic data. SAC 2013: 275-276
2012
[c14]
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  - conf/iiix/SaidJLA12
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Alan Said, Brijnesh J. Jain, Andreas Lommatzsch, Sahin Albayrak:
Correlating perception-oriented aspects in user-centric recommender system evaluation. IIiX 2012: 294-297
2011
[c13]
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Andreas Lommatzsch, Till Plumbaum, Sahin Albayrak:
An Architecture for Smart Semantic Recommender Applications. IICS 2011: 105-114
[c12]
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Christian Scheel, Andreas Lommatzsch, Sahin Albayrak:
Performance Measures for Multi-Graded Relevance. SPIM 2011: 54-65
[c11]
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Till Plumbaum, Andreas Lommatzsch, Ernesto William De Luca, Sahin Albayrak:
SERUM: Collecting Semantic User Behavior for Improved News Recommendations. UMAP Workshops 2011: 402-405
2010
[c10]
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Andreas Lommatzsch, Danuta Ploch, Ernesto William De Luca, Sahin Albayrak:
Named Entity Disambiguation for German News Articles. LWA 2010: 209-212
[c9]
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  - conf/sdm/KunegisSLLLA10
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Jérôme Kunegis, Stephan Schmidt, Andreas Lommatzsch, Jürgen Lerner, Ernesto William De Luca, Sahin Albayrak:
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization. SDM 2010: 559-570

2000 – 2009

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2009
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Andreas Lommatzsch:
Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung. Berlin Institute of Technology, 2009
[c8]
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Jérôme Kunegis, Andreas Lommatzsch:
Learning spectral graph transformations for link prediction. ICML 2009: 561-568
[c7]
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  - conf/iics/EichlerLSPSW09
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Gerald Eichler, Andreas Lommatzsch, Thomas Strecker, Danuta Ploch, Conny Strecker, Robert Wetzker:
From Community towards Enterprise - A Taxonomy-based Search for Experts. IICS 2009: 183-193
[c6]
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Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage:
The slashdot zoo: mining a social network with negative edges. WWW 2009: 741-750
2008
[c5]
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  - conf/icpr/KunegisLB08
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Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage:
Alternative similarity functions for graph kernels. ICPR 2008: 1-4
2007
[j1]
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Sahin Albayrak, Stefan Wollny, Andreas Lommatzsch, Dragan Milosevic:
Agent Technology for Personalized Information Filtering: The PIA System. Scalable Comput. Pract. Exp. 8(1) (2007)
[c4]
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  - conf/ACMse/LommatzschA07
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Andreas Lommatzsch, Sahin Albayrak:
Using multi-agent systems for learning optimal policies for complex problems. ACM Southeast Regional Conference 2007: 244-249
[c3]
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Jérôme Kunegis, Andreas Lommatzsch, Martin Mehlitz, Sahin Albayrak:
Assessing the value of unrated items in collaborative filtering. ICDIM 2007: 212-216
[c2]
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  - conf/trec/LeeLS07
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Wai-Lung Lee, Andreas Lommatzsch, Christian Scheel:
Feed Distillation Using AdaBoost and Topic Maps. TREC 2007
2005
[c1]
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  - conf/sac/AlbayrakWVLM05
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Sahin Albayrak, Stefan Wollny, Nicolas Varone, Andreas Lommatzsch, Dragan Milosevic:
Agent technology for personalized information filtering: the PIA-system. SAC 2005: 54-59

Coauthor Index

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