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Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education
This report documents the program and the outcomes of Dagstuhl Seminar 23031 "Frontiers of Information Access Experimentation for …
Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel
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Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives
Recommender systems research and practice are fast-developing topics with growing adoption in a wide variety of information access …
Christine Bauer, Eva Zangerle, Alan Said
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Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives
Reality Check – Conducting Real World Studies: Frontiers of Information Access Experimentation fortextlessbr/textgreaterResearch and Education
Information retrieval and recommender systems are deployed in real world environments. Therefore, to get a real feeling for the system, …
Bruce Ferwerda, Allan Hanbury, Bart P. Knijnenburg, Birger Larsen, Lien Michiels, Andrea Papenmeier, Alan Said, Philipp Schaer, Martijn Willemsen
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Research directions in recommender systems for health and well-being
Recommender systems have been put to use in the entertainment and e-commerce domains for decades, and in these decades, recommender …
Hanna Hauptmann, Alan Said, Christoph Trattner
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Report on the 1st workshop on the perspectives on the evaluation of recommender systems (PERSPECTIVES 2021) at RecSys 2021
Evaluation is a central step when it comes to developing, optimizing, and deploying recommender systems. The PERSPECTIVES 2021 workshop …
Eva Zangerle, Christine Bauer, Alan Said
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Improving accountability in recommender systems research through reproducibility
Reproducibility is a key requirement for scientific progress. It allows the reproduction of the works of others, and, as a consequence, …
Alejandro Bellogin, Alan Said
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Affective Colormap Design for Accurate Visual Comprehension in Industrial Tomography
The design of colormaps can help tomography operators obtain accurate visual comprehension, thereby assisting safety-critical …
Yuchong Zhang, Morten Fjeld, Marco Fratarcangeli, Alan Said, Shengdong Zhao
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Task-based Colormap Design Supporting Visual Comprehension in Process Tomography
Color coding is a fundamental technique for mapping data to visual representations, allowing people to carry out comprehension-based …
Yuchong Zhang, Morten Fjeld, Alan Said, Marco Fratarcangeli
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Coherence and inconsistencies in rating behavior: estimating the magic barrier type: publication profile: false of recommender systems
Recommender Systems have to deal with a wide variety of users and user types that express their preferences in different ways. This …
Alan Said, A. Bellogín
Jan 1, 2018
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Introduction to the Special Issue on Recommender System Benchmarking
Recommender systems addvalue to vast content resources by matching users with items of interest. In recent years, immense progress has …
Paolo Cremonesi, Alan Said, Domonkos Tikk, Michelle X. Zhou
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A Short History of the RecSys Challenge
The RecSys Challenge is a yearly recurring competition focusing on creating the best performing recommendation approach for a specific …
Alan Said
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Non-transparent recommender system evaluation leads to misleading results
Recommender systems have become a ubiquitous feature on the World Wide Web. Today, most websites use some form of recommendation to …
Alan Said, Alejandro Bellogin
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The Not-so-Magic Magic Barrier of Recommender Systems
Recommender Systems need to deal with different types of users who represent their preferences in various ways. This difference in user …
Alejandro Bellogin, Alan Said
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Report on the 4th Workshop on Context-awareness in Retrieval and Recommendation
Context-aware information is widely available in various ways and is becoming more and more important for enhancing retrieval …
Alan Said, Ernesto W. De Luca, Daniele Quercia
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RiVal: A New Benchmarking Toolkit for Recommender Systems
RiVal is a newly released toolkit, developed during two ERCIM fellowships at Centrum Wiskunde & Informatica (CWI), for transparent …
Alan Said, Alejandro Bellogin
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Report on the workshop on reproducibility and replication in recommender systems
Experiment replication and reproduction are key requirements for empirical research methodology, and an important open issue in the …
Alejandro Bellogin, Pablo Castells, Alan Said, Domonkos Tikk
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Introduction to special section on CAMRa2010: Movie recommendation in context
The challenge and workshop on Context-Aware Movie Recommendation (CAMRa2010) were conducted jointly in 2010 with the Recommender …
Alan Said, S. Berkovsky, E.W. De Luca
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Report on the SIGIR 2013 workshop on benchmarking adaptive retrieval and recommender
In recent years, immense progress has been made in the development of recommendation, retrieval, and personalisation techniques. The …
Pablo Castells, Frank Hopfgartner, Alan Said, Mounia Lalmas
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Increasing Diversity Through Furthest Neighbor-Based Recommendation
One of the current challenges concerning improving recommender systems consists of finding ways of increasing serendipity and diversity, …
Alan Said, Benjamin Kille, Brijnesh J Jain, Sahin Albayrak
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