Article-Journal

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 Bellogín
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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 Bellogín, 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 Bellogín, Pablo Castells, Alan Said, Domonkos Tikk
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