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Information Retrieval Journal (2020)


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2020 Volume 23 Issue 1

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Evaluating sentence-level relevance feedback for high-recall information retrieval
Haotian Zhang | Gordon V. Cormack | Maura R. Grossman | Mark D. Smucker

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ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation
Yutao Zhu | Zhicheng Dou | Jian-Yun Nie | Ji-Rong Wen

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Fewer topics? A million topics? Both?! On topics subsets in test collections
Kevin Roitero | J. Shane Culpepper | Mark Sanderson | Falk Scholer | Stefano Mizzaro

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Low-cost, bottom-up measures for evaluating search result diversification
Zhicheng Dou | Xue Yang | Diya Li | Ji-Rong Wen | Tetsuya Sakai


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2020 Volume 23 Issue 2

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Introduction to special issue on eCommerce search and recommendation
Andrew Trotman | Surya Kallumadi | Jon Degenhardt

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Informational, transactional, and navigational need of information: relevance of search intention in search engine advertising
Carsten D. Schultz

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Deep cross-platform product matching in e-commerce
Juan Li | Zhicheng Dou | Yutao Zhu | Xiaochen Zuo | Ji-Rong Wen

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A passage-based approach to learning to rank documents
Eilon Sheetrit | Anna Shtok | Oren Kurland


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2020 Volume 23 Issue 3

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Axiomatic thinking for information retrieval: introduction to special issue
Enrique Amigó | Hui Fang | Stefano Mizzaro | Chengxiang Zhai

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An axiomatic approach to corpus-based cross-language information retrieval
Razieh Rahimi | Ali Montazeralghaem | Azadeh Shakery

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On the foundations of similarity in information access
Enrique Amigó | Fernando Giner | Julio Gonzalo | Felisa Verdejo

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Evaluation measures for quantification: an axiomatic approach
Fabrizio Sebastiani

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How do interval scales help us with better understanding IR evaluation measures?
Marco Ferrante | Nicola Ferro | Eleonora Losiouk

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On the nature of information access evaluation metrics: a unifying framework
Enrique Amigó | Stefano Mizzaro


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2020 Volume 23 Issue 4

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Offline evaluation options for recommender systems
Rocío Cañamares | Pablo Castells | Alistair Moffat

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Assessing ranking metrics in top-N recommendation
Daniel Valcarce | Alejandro Bellogín | Javier Parapar | Pablo Castells

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Employing neighborhood reduction for alleviating sparsity and cold start problems in user-based collaborative filtering
Zhipeng Zhang | Yao Zhang | Yonggong Ren


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2020 Volume 23 Issue 5

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Foreword to the special issue on mining actionable insights from online user generated content
Marcelo Gabriel Armentano | Ebrahim Bagheri | Julia Kiseleva | Frank W. Takes

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Sharing emotions: determining films' evoked emotional experience from their online reviews
Osnat Mokryn | David Bodoff | Nadim Bader | Yael Albo | Joel Lanir

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Robust keyword search in large attributed graphs
Spencer Bryson | Heidar Davoudi | Lukasz Golab | Mehdi Kargar | Yuliya Lytvyn | Piotr Mierzejewski | Jaroslaw Szlichta | Morteza Zihayat


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2020 Volume 23 Issue 6

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Special issue on learning from user interactions
Rishabh Mehrotra | Ahmed Hassan Awadallah | Emine Yilmaz

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Boosting learning to rank with user dynamics and continuation methods
Nicola Ferro | Claudio Lucchese | Maria Maistro | Raffaele Perego

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Preference-based interactive multi-document summarisation
Yang Gao | Christian M. Meyer | Iryna Gurevych