Discover Computing (2020)

Content

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2020 Volume 23 Issue 1

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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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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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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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2020 Volume 23 Issue 2

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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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Informational, transactional, and navigational need of information: relevance of search intention in search engine advertising.
Carsten D. Schultz
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A passage-based approach to learning to rank documents.
Eilon Sheetrit|Anna Shtok|Oren Kurland
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Introduction to special issue on eCommerce search and recommendation.
Andrew Trotman|Surya Kallumadi|Jon Degenhardt

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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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On the foundations of similarity in information access.
Enrique Amigó|Fernando Giner|Julio Gonzalo|Felisa Verdejo
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On the nature of information access evaluation metrics: a unifying framework.
Enrique Amigó|Stefano Mizzaro
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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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An axiomatic approach to corpus-based cross-language information retrieval.
Razieh Rahimi|Ali Montazeralghaem|Azadeh Shakery
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Evaluation measures for quantification: an axiomatic approach.
Fabrizio Sebastiani

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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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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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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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2020 Volume 23 Issue 6

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