Information Retrieval

Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023)
Evaluation is important when developing and deploying recommender systems. The PERSPECTIVES workshop sheds light on the different, …
Alan Said, Eva Zangerle, Christine Bauer
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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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Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022)
Evaluation of recommender systems is a central activity when developing recommender systems, both in industry and academia. The second …
Eva Zangerle, Christine Bauer, Alan Said
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Information Retrieval and Recommender Systems
This chapter provides a brief introduction to two of the most common applications of data science methods in e-commerce: information …
Alejandro Bellogín, Alan Said
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5th 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 …
Ernesto William De Luca, Alan Said, Fabio Crestani, David Elsweiler
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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 William De Luca, Daniele Quercia, Matthias Böhmer
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Challenges on Combining Open Web and Dataset Evaluation Results: The Case type: publication profile: false of the Contextual Suggestion Track
The TREC 2013 Contextual Suggestion Track allowed participants to submit personalised rankings using documents either from the OpenWeb …
Alejandro Bellogín, Thaer Samar, Arjen P. De Vries, Alan Said
Jan 1, 2014
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3rd 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 …
M. Böhmer, E.W. De Luca, Alan Said, J. Teevan
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Information retrieval and user-centric recommender system evaluation
Traditional recommender system evaluation focuses on raising the accuracy, or lowering the rating prediction error of the …
Alan Said, A. Bellogín, A. De Vries, B. Kille
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Inferring Contextual User Profiles - Improving Recommender Performance
In this paper we present the concept of inferred contextual user profiles (CUPs) which extends the traditional user profile definition …
Alan Said, Ernesto W. De Luca, Sahin Albayrak
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