ACM Transactions on Information Systems (2021)
Content
- 2021 Volume 39 Issue 4 17 papers
- 2021 Volume 39 Issue 3 16 papers
- 2021 Volume 39 Issue 2 12 papers
2021 Volume 39 Issue 4
Conversational Search and Recommendation: Introduction to the Special Issue
Claudia Hauff
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Julia Kiseleva
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Mark Sanderson
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Hamed Zamani
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Yongfeng Zhang
Theories of Conversation for Conversational IR
Paul Thomas
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Mary Czerwinski
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Daniel McDuff
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Nick Craswell
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users
Shijun Li
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Wenqiang Lei
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Qingyun Wu
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Xiangnan He
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Peng Jiang
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Tat-Seng Chua
Integrating Collaboration and Leadership in Conversational Group Recommender Systems
David Contreras
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Maria Salamó
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Ludovico Boratto
Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations
Daricia Wilkinson
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Öznur Alkan
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Q. Vera Liao
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Massimiliano Mattetti
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Inge Vejsbjerg
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Bart P. Knijnenburg
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Elizabeth Daly
Target-guided Emotion-aware Chat Machine
Wei Wei
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Jiayi Liu
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Xianling Mao
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Guibing Guo
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Feida Zhu
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Pan Zhou
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Yuchong Hu
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Shanshan Feng
Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues
Ruijian Xu
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Chongyang Tao
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Jiazhan Feng
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Wei Wu
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Rui Yan
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Dongyan Zhao
Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots
Juntao Li
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Chang Liu
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Chongyang Tao
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Zhangming Chan
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Dongyan Zhao
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Min Zhang
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Rui Yan
MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services
Cataldo Musto
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Fedelucio Narducci
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Marco Polignano
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Marco de Gemmis
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Pasquale Lops
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Giovanni Semeraro
Conversations with Search Engines: SERP-based Conversational Response Generation
Pengjie Ren
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Zhumin Chen
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Zhaochun Ren
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Evangelos Kanoulas
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Christof Monz
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Maarten de Rijke
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting
Sheng-Chieh Lin
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Jheng-Hong Yang
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Rodrigo Frassetto Nogueira
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Ming-Feng Tsai
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Chuan-Ju Wang
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Jimmy Lin
A Large-scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search
Svitlana Vakulenko
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Evangelos Kanoulas
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Maarten de Rijke
Meta-Information in Conversational Search
Johannes Kiesel
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Lars Meyer
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Martin Potthast
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Benno Stein
How Am I Doing?: Evaluating Conversational Search Systems Offline
Aldo Lipani
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Ben Carterette
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Emine Yilmaz
Meta-evaluation of Conversational Search Evaluation Metrics
Zeyang Liu
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Ke Zhou
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Max L. Wilson
From Users' Intentions to IF-THEN Rules in the Internet of Things
Fulvio Corno
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Luigi De Russis
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Alberto Monge Roffarello
Multi-Response Awareness for Retrieval-Based Conversations: Respond with Diversity via Dynamic Representation Learning
Rui Yan
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Weiheng Liao
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Dongyan Zhao
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Ji-Rong Wen
2021 Volume 39 Issue 3
Modeling Multiple Coexisting Category-Level Intentions for Next Item Recommendation
Yanan Xu
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Yanmin Zhu
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Jiadi Yu
Editorial Message from the New Editor-in-Chief
Min Zhang
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback
Wei Wang
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Longbing Cao
Toward Comprehensive User and Item Representations via Three-tier Attention Network
Hongtao Liu
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Wenjun Wang
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Qiyao Peng
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Nannan Wu
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Fangzhao Wu
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Pengfei Jiao
Reinforcement Learning-based Collective Entity Alignment with Adaptive Features
Weixin Zeng
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Xiang Zhao
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Jiuyang Tang
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Xuemin Lin
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Paul Groth
RLPS: A Reinforcement Learning-Based Framework for Personalized Search
Jing Yao
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Zhicheng Dou
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Jun Xu
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Ji-Rong Wen
DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management
Jingyuan Wang
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Xin Lin
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Yuan Zuo
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Junjie Wu
Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants
Mohammad Aliannejadi
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Hamed Zamani
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Fabio Crestani
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W. Bruce Croft
A Hybrid Framework for Session Context Modeling
Jia Chen
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Jiaxin Mao
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Yiqun Liu
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Ziyi Ye
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Weizhi Ma
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Chao Wang
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Min Zhang
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Shaoping Ma
Spoken Conversational Context Improves Query Auto-completion in Web Search
Tung Thanh Vuong
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Salvatore Andolina
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Giulio Jacucci
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Tuukka Ruotsalo
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification
Tianchi Yang
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Linmei Hu
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Chuan Shi
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Houye Ji
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Xiaoli Li
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Liqiang Nie
Assessing Top- Preferences
Charles L. A. Clarke
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Alexandra Vtyurina
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Mark D. Smucker
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation
Jiawei Chen
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Chengquan Jiang
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Can Wang
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Sheng Zhou
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Yan Feng
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Chun Chen
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Martin Ester
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Xiangnan He
Inductive Contextual Relation Learning for Personalization
Chuxu Zhang
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Huaxiu Yao
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Lu Yu
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Chao Huang
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Dongjin Song
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Haifeng Chen
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Meng Jiang
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Nitesh V. Chawla
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation
Elisa Mena-Maldonado
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Rocío Cañamares
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Pablo Castells
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Yongli Ren
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Mark Sanderson
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results
Qi Zhang
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Hengshu Zhu
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Qi Liu
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Enhong Chen
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Hui Xiong
2021 Volume 39 Issue 2
Weighting Passages Enhances Accuracy
Cristina Ioana Muntean
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Franco Maria Nardini
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Raffaele Perego
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Nicola Tonellotto
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Ophir Frieder
Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog
Shen Gao
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Xiuying Chen
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Li Liu
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Dongyan Zhao
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Rui Yan
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings
Gediminas Adomavicius
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Jesse C. Bockstedt
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Shawn P. Curley
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Jingjing Zhang
Retrieval Evaluation Measures that Agree with Users' SERP Preferences: Traditional, Preference-based, and Diversity Measures
Tetsuya Sakai
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Zhaohao Zeng
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis
Peng Liu
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Lemei Zhang
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Jon Atle Gulla
Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation
Chenyang Wang
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Weizhi Ma
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Min Zhang
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Chong Chen
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Yiqun Liu
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Shaoping Ma
Microtask Detection
Ryen W. White
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Elnaz Nouri
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James Woffinden-Luey
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Mark J. Encarnación
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Sujay Kumar Jauhar
Meaningful Answer Generation of E-Commerce Question-Answering
Shen Gao
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Xiuying Chen
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Zhaochun Ren
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Dongyan Zhao
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Rui Yan
A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment
Andrea Esuli
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Alessio Molinari
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Fabrizio Sebastiani
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Maurizio Ferrari Dacrema
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Simone Boglio
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Paolo Cremonesi
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Dietmar Jannach
Unbiased Learning to Rank: Online or Offline?
Qingyao Ai
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Tao Yang
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Huazheng Wang
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Jiaxin Mao
VM-NSP: Vertical Negative Sequential Pattern Mining with Loose Negative Element Constraints
Wei Wang
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Longbing Cao