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Conversational Recommendation: Theoretical Model and Complexity Analysis


Nov 12, 2021
Tommaso Di Noia, Francesco Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo


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Conversational Recommendation:Theoretical Model and Complexity Analysis


Nov 10, 2021
Tommaso Di Noia, Francesco Donini, Dietmar Jannach, FedelucioNarducci, Claudio Pomo


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Towards Retrieval-based Conversational Recommendation


Sep 06, 2021
Ahtsham Manzoor, Dietmar Jannach

* 29 pages, 5 figures, 7 tables 

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Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation


Aug 25, 2021
Gediminas Adomavicius, Dietmar Jannach, Stephan Leitner, Jingjing Zhang

* Paper accepted for the Workshop on Simulation Methods for Recommender Systems (SimuRec) at ACM RecSys '21 

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Session-aware Recommendation: A Surprising Quest for the State-of-the-art


Nov 06, 2020
Sara Latifi, Noemi Mauro, Dietmar Jannach


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A Black-Box Attack Model for Visually-Aware Recommender Systems


Nov 05, 2020
Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir

* Accepted to WSDM 2021 

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Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems


Aug 05, 2020
Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi, Dietmar Jannach

* The 29th ACM International Conference on Information and Knowledge Management (CIKM '20), October 19--23, 2020, Virtual Event, Ireland 
* Source code available here: https://github.com/MaurizioFD/RecSys2019_DeepLearning_Evaluation 

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Hybrid Session-based News Recommendation using Recurrent Neural Networks


Jun 22, 2020
Gabriel de Souza P. Moreira, Dietmar Jannach, Adilson Marques da Cunha

* From the Proceeding of the LatinX in AI Research (LXAI) at ICML 2020. arXiv admin note: text overlap with arXiv:1904.10367 

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A systematic review and taxonomy of explanations in decision support and recommender systems


Jun 15, 2020
Ingrid Nunes, Dietmar Jannach

* User Modeling and User-Adapted Interaction, 27 (3-5), 393-444 (2017) 

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A Survey on Conversational Recommender Systems


Apr 01, 2020
Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, Li Chen

* 35 pages, 5 figures. Submitted for publication 

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A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research


Nov 18, 2019
Maurizio Ferrari Dacrema, Simone Boglio, Paolo Cremonesi, Dietmar Jannach

* The article is currently under review. If you spot issues with our evaluation or with the settings we have chosen for the DL algorithms, we welcome your input, please write to us! 

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Empirical Analysis of Session-Based Recommendation Algorithms


Oct 28, 2019
Malte Ludewig, Noemi Mauro, Sara Latifi, Dietmar Jannach


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Measuring the Business Value of Recommender Systems


Aug 26, 2019
Dietmar Jannach, Michael Jugovac

* Removed subtitled 

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On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems


Aug 19, 2019
Gabriel de Souza P. Moreira, Dietmar Jannach, Adilson Marques da Cunha

* Short paper. In Proceedings of 7th International Workshop on News Recommendation and Analytics(INRA 2019), September 19, 2019, Copenhagen, Denmark. arXiv admin note: text overlap with arXiv:1904.10367 

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Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches


Aug 16, 2019
Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach

* Proceedings of the 13th ACM Conference on Recommender Systems (RecSys 2019) 
* Source code available at: https://github.com/MaurizioFD/RecSys2019_DeepLearning_Evaluation 

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Beyond Personalization: Research Directions in Multistakeholder Recommendation


May 01, 2019
Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Pizzato

* 66 pages 

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Contextual Hybrid Session-based News Recommendation with Recurrent Neural Networks


Apr 15, 2019
Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha

* 49 pgs 

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Are Query-Based Ontology Debuggers Really Helping Knowledge Engineers?


Apr 02, 2019
Patrick Rodler, Dietmar Jannach, Konstantin Schekotihin, Philipp Fleiss


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Evaluation of Session-based Recommendation Algorithms


Oct 30, 2018
Malte Ludewig, Dietmar Jannach


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Price and Profit Awareness in Recommender Systems


Jul 25, 2017
Dietmar Jannach, Gediminas Adomavicius

* Presented at the 2017 Workshop on Value-Aware and Multi-Stakeholder Recommendation (VAMS) collocated with ACM RecSys 2017 

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