Volume 39, Number 4, October 2021
Multi-Response Awareness for Retrieval-Based Conversations: Respond with Diversity via Dynamic Representation Learning.

Rui Yan Weiheng Liao Dongyan Zhao Ji-Rong Wen

From Users' Intentions to IF-THEN Rules in the Internet of Things.

Fulvio Corno Luigi De Russis Alberto Monge Roffarello

Meta-evaluation of Conversational Search Evaluation Metrics.

Zeyang Liu Ke Zhou Max L. Wilson

How Am I Doing?: Evaluating Conversational Search Systems Offline.

Aldo Lipani Ben Carterette Emine Yilmaz

Meta-Information in Conversational Search.

Johannes Kiesel Lars Meyer Martin Potthast Benno Stein

A Large-scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search.

Svitlana Vakulenko Evangelos Kanoulas Maarten de Rijke

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting.

Sheng-Chieh Lin Jheng-Hong Yang Rodrigo Nogueira Ming-Feng Tsai Chuan-Ju Wang Jimmy Lin

Conversations with Search Engines: SERP-based Conversational Response Generation.

Pengjie Ren Zhumin Chen Zhaochun Ren Evangelos Kanoulas Christof Monz Maarten de Rijke

MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services.

Cataldo Musto Fedelucio Narducci Marco Polignano Marco de Gemmis Pasquale Lops Giovanni Semeraro

Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots.

Juntao Li Chang Liu Chongyang Tao Zhangming Chan Dongyan Zhao Min Zhang Rui Yan

Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues.

Ruijian Xu Chongyang Tao Jiazhan Feng Wei Wu Rui Yan Dongyan Zhao

Target-guided Emotion-aware Chat Machine.

Wei Wei Jiayi Liu Xianling Mao Guibing Guo Feida Zhu Pan Zhou Yuchong Hu Shanshan Feng

Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations.

Daricia Wilkinson Öznur Alkan Q. Vera Liao Massimiliano Mattetti Inge Vejsbjerg Bart P. Knijnenburg Elizabeth Daly

Integrating Collaboration and Leadership in Conversational Group Recommender Systems.

David Contreras Maria Salamó Ludovico Boratto

Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users.

Shijun Li Wenqiang Lei Qingyun Wu Xiangnan He Peng Jiang Tat-Seng Chua

Theories of Conversation for Conversational IR.

Paul Thomas Mary Czerwinksi Daniel McDuff Nick Craswell

Conversational Search and Recommendation: Introduction to the Special Issue.

Claudia Hauff Julia Kiseleva Mark Sanderson Hamed Zamani Yongfeng Zhang


Volume 39, Number 3, July 2021
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results.

Qi Zhang Hengshu Zhu Qi Liu Enhong Chen Hui Xiong

Popularity Bias in False-positive Metrics for Recommender Systems Evaluation.

Elisa Mena-Maldonado Rocío Cañamares Pablo Castells Yongli Ren Mark Sanderson

Inductive Contextual Relation Learning for Personalization.

Chuxu Zhang Huaxiu Yao Lu Yu Chao Huang Dongjin Song Haifeng Chen Meng Jiang Nitesh V. Chawla

CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation.

Jiawei Chen Chengquan Jiang Can Wang Sheng Zhou Yan Feng Chun Chen Martin Ester Xiangnan He

Assessing Top- Preferences.

Charles L. A. Clarke Alexandra Vtyurina Mark D. Smucker

HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification.

Tianchi Yang Linmei Hu Chuan Shi Houye Ji Xiaoli Li Liqiang Nie

Spoken Conversational Context Improves Query Auto-completion in Web Search.

Tung Thanh Vuong Salvatore Andolina Giulio Jacucci Tuukka Ruotsalo

A Hybrid Framework for Session Context Modeling.

Jia Chen Jiaxin Mao Yiqun Liu Ziyi Ye Weizhi Ma Chao Wang Min Zhang Shaoping Ma

Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants.

Mohammad Aliannejadi Hamed Zamani Fabio Crestani W. Bruce Croft

DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management.

Jingyuan Wang Xin Lin Yuan Zuo Junjie Wu

RLPS: A Reinforcement Learning-Based Framework for Personalized Search.

Jing Yao Zhicheng Dou Jun Xu Ji-Rong Wen

Reinforcement Learning-based Collective Entity Alignment with Adaptive Features.

Weixin Zeng Xiang Zhao Jiuyang Tang Xuemin Lin Paul Groth

Toward Comprehensive User and Item Representations via Three-tier Attention Network.

Hongtao Liu Wenjun Wang Qiyao Peng Nannan Wu Fangzhao Wu Pengfei Jiao

Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback.

Wei Wang Longbing Cao

Modeling Multiple Coexisting Category-Level Intentions for Next Item Recommendation.

Yanan Xu Yanmin Zhu Jiadi Yu

Editorial Message from the New Editor-in-Chief.

Min Zhang


Volume 39, Number 2, March 2021
VM-NSP: Vertical Negative Sequential Pattern Mining with Loose Negative Element Constraints.

Wei Wang Longbing Cao

Unbiased Learning to Rank: Online or Offline?

Qingyao Ai Tao Yang Huazheng Wang Jiaxin Mao

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research.

Maurizio Ferrari Dacrema Simone Boglio Paolo Cremonesi Dietmar Jannach

A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment.

Andrea Esuli Alessio Molinari Fabrizio Sebastiani

Meaningful Answer Generation of E-Commerce Question-Answering.

Shen Gao Xiuying Chen Zhaochun Ren Dongyan Zhao Rui Yan

Microtask Detection.

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

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

Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis.

Peng Liu Lemei Zhang Jon Atle Gulla

Retrieval Evaluation Measures that Agree with Users' SERP Preferences: Traditional, Preference-based, and Diversity Measures.

Tetsuya Sakai Zhaohao Zeng

Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings.

Gediminas Adomavicius Jesse C. Bockstedt Shawn P. Curley Jingjing Zhang

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

Weighting Passages Enhances Accuracy.

Cristina Ioana Muntean Franco Maria Nardini Raffaele Perego Nicola Tonellotto Ophir Frieder


Volume 39, Number 1, November 2020
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations.

Hui Fang Danning Zhang Yiheng Shu Guibing Guo

Faceted Search with Object Ranking and Answer Size Constraints.

Kostas Manioudakis Yannis Tzitzikas

Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network.

Xu Chen Kun Xiong Yongfeng Zhang Long Xia Dawei Yin Jimmy Xiangji Huang

PONE: A Novel Automatic Evaluation Metric for Open-domain Generative Dialogue Systems.

Tian Lan Xian-Ling Mao Wei Wei Xiaoyan Gao Heyan Huang

An Attention-based Deep Relevance Model for Few-shot Document Filtering.

Bulou Liu Chenliang Li Wei Zhou Feng Ji Yu Duan Haiqing Chen

Bots in Social and Interaction Networks: Detection and Impact Estimation.

Marcelo Mendoza Maurizio Tesconi Stefano Cresci

How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review.

Graham McDonald Craig Macdonald Iadh Ounis

End-to-End Neural Matching for Semantic Location Prediction of Tweets.

Paul Mousset Yoann Pitarch Lynda Tamine

Graph-based Regularization on Embedding Layers for Recommendation.

Yuan Zhang Fei Sun Xiaoyong Yang Chen Xu Wenwu Ou Yan Zhang

Pretrained Embeddings for Stance Detection with Hierarchical Capsule Network on Social Media.

Guangzhen Zhao Peng Yang