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2021 Volume 39 Issue 2

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Weighting Passages Enhances Accuracy
Cristina Ioana Muntean | Franco Maria Nardini | Raffaele Perego | Nicola Tonellotto | Ophir Frieder

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Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog
Shen Gao | Xiuying Chen | Li Liu | Dongyan Zhao | Rui Yan

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Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings
Gediminas Adomavicius | Jesse C. Bockstedt | Shawn P. Curley | Jingjing Zhang

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Retrieval Evaluation Measures that Agree with Users' SERP Preferences: Traditional, Preference-based, and Diversity Measures
Tetsuya Sakai | Zhaohao Zeng

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Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis
Peng Liu | Lemei Zhang | Jon Atle Gulla

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Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation
Chenyang Wang | Weizhi Ma | Min Zhang | Chong Chen | Yiqun Liu | Shaoping Ma

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Microtask Detection
Ryen W. White | Elnaz Nouri | James Woffinden-Luey | Mark J. Encarnación | Sujay Kumar Jauhar

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Meaningful Answer Generation of E-Commerce Question-Answering
Shen Gao | Xiuying Chen | Zhaochun Ren | Dongyan Zhao | Rui Yan

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A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment
Andrea Esuli | Alessio Molinari | Fabrizio Sebastiani

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A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Maurizio Ferrari Dacrema | Simone Boglio | Paolo Cremonesi | Dietmar Jannach

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Unbiased Learning to Rank: Online or Offline?
Qingyao Ai | Tao Yang | Huazheng Wang | Jiaxin Mao

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VM-NSP: Vertical Negative Sequential Pattern Mining with Loose Negative Element Constraints
Wei Wang | Longbing Cao