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Information Retrieval Journal, Volume 23
Volume 23, Number 1, February 2020
- Haotian Zhang, Gordon V. Cormack, Maura R. Grossman, Mark D. Smucker:
Evaluating sentence-level relevance feedback for high-recall information retrieval. 1-26 - Yutao Zhu, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation. 27-48 - Kevin Roitero, J. Shane Culpepper, Mark Sanderson, Falk Scholer, Stefano Mizzaro:
Fewer topics? A million topics? Both?! On topics subsets in test collections. 49-85 - Zhicheng Dou, Xue Yang, Diya Li, Ji-Rong Wen, Tetsuya Sakai:
Low-cost, bottom-up measures for evaluating search result diversification. 86-113
Volume 23, Number 2, April 2020
- Andrew Trotman, Surya Kallumadi, Jon Degenhardt:
Introduction to special issue on eCommerce search and recommendation. 115-116 - Carsten D. Schultz:
Informational, transactional, and navigational need of information: relevance of search intention in search engine advertising. 117-135 - Juan Li, Zhicheng Dou, Yutao Zhu, Xiaochen Zuo, Ji-Rong Wen:
Deep cross-platform product matching in e-commerce. 136-158 - Eilon Sheetrit, Anna Shtok, Oren Kurland:
A passage-based approach to learning to rank documents. 159-186
Volume 23, Number 3, June 2020
- Enrique Amigó, Hui Fang, Stefano Mizzaro, Chengxiang Zhai:
Axiomatic thinking for information retrieval: introduction to special issue. 187-190 - Razieh Rahimi, Ali Montazeralghaem, Azadeh Shakery:
An axiomatic approach to corpus-based cross-language information retrieval. 191-215 - Enrique Amigó, Fernando Giner, Julio Gonzalo, Felisa Verdejo:
On the foundations of similarity in information access. 216-254 - Fabrizio Sebastiani:
Evaluation measures for quantification: an axiomatic approach. 255-288 - Marco Ferrante, Nicola Ferro, Eleonora Losiouk:
How do interval scales help us with better understanding IR evaluation measures? 289-317 - Enrique Amigó, Stefano Mizzaro:
On the nature of information access evaluation metrics: a unifying framework. 318-386
Volume 23, Number 4, August 2020
- Rocío Cañamares, Pablo Castells, Alistair Moffat:
Offline evaluation options for recommender systems. 387-410 - Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells:
Assessing ranking metrics in top-N recommendation. 411-448 - Zhipeng Zhang, Yao Zhang, Yonggong Ren:
Employing neighborhood reduction for alleviating sparsity and cold start problems in user-based collaborative filtering. 449-472
Volume 23, Number 5, October 2020
- Marcelo Gabriel Armentano, Ebrahim Bagheri, Julia Kiseleva, Frank W. Takes:
Foreword to the special issue on mining actionable insights from online user generated content. 473-474 - Osnat Mokryn, David Bodoff, Nadim Bader, Yael Albo, Joel Lanir:
Sharing emotions: determining films' evoked emotional experience from their online reviews. 475-501 - Spencer Bryson, Heidar Davoudi, Lukasz Golab, Mehdi Kargar, Yuliya Lytvyn, Piotr Mierzejewski, Jaroslaw Szlichta, Morteza Zihayat:
Robust keyword search in large attributed graphs. 502-524
Volume 23, Number 6, December 2020
- Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz:
Special issue on learning from user interactions. 525-527 - Nicola Ferro, Claudio Lucchese, Maria Maistro, Raffaele Perego:
Boosting learning to rank with user dynamics and continuation methods. 528-554 - Yang Gao, Christian M. Meyer, Iryna Gurevych:
Preference-based interactive multi-document summarisation. 555-585
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