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ORCIDACM Transactions on Information Systems, Volume 39
Volume 39, Number 1, November 2020
- Guangzhen Zhao
, Peng Yang:
Pretrained Embeddings for Stance Detection with Hierarchical Capsule Network on Social Media. 1:1-1:32 - Yuan Zhang, Fei Sun, Xiaoyong Yang, Chen Xu, Wenwu Ou, Yan Zhang:
Graph-based Regularization on Embedding Layers for Recommendation. 2:1-2:27 - Paul Mousset, Yoann Pitarch, Lynda Tamine:
End-to-End Neural Matching for Semantic Location Prediction of Tweets. 3:1-3:35 - Graham McDonald, Craig Macdonald, Iadh Ounis:
How the Accuracy and Confidence of Sensitivity Classification Affects Digital Sensitivity Review. 4:1-4:34 - Marcelo Mendoza, Maurizio Tesconi, Stefano Cresci:
Bots in Social and Interaction Networks: Detection and Impact Estimation. 5:1-5:32 - Bulou Liu, Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen:
An Attention-based Deep Relevance Model for Few-shot Document Filtering. 6:1-6:35 - Tian Lan, Xian-Ling Mao, Wei Wei, Xiaoyan Gao, Heyan Huang:
PONE: A Novel Automatic Evaluation Metric for Open-domain Generative Dialogue Systems. 7:1-7:37 - Xu Chen, Kun Xiong, Yongfeng Zhang, Long Xia, Dawei Yin, Jimmy Xiangji Huang:
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network. 8:1-8:22 - Kostas Manioudakis, Yannis Tzitzikas:
Faceted Search with Object Ranking and Answer Size Constraints. 9:1-9:33 - Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo:
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations. 10:1-10:42
Volume 39, Number 2, March 2021
- Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder:
Weighting Passages Enhances Accuracy. 11:1-11:11 - Shen Gao, Xiuying Chen, Li Liu, Dongyan Zhao, Rui Yan:
Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog. 12:1-12:32 - Gediminas Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang:
Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings. 13:1-13:38 - Tetsuya Sakai, Zhaohao Zeng:
Retrieval Evaluation Measures that Agree with Users' SERP Preferences: Traditional, Preference-based, and Diversity Measures. 14:1-14:35 - Peng Liu, Lemei Zhang, Jon Atle Gulla:
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis. 15:1-15:33 - Chenyang Wang, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma:
Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation. 16:1-16:33 - Ryen W. White, Elnaz Nouri, James Woffinden-Luey, Mark J. Encarnación, Sujay Kumar Jauhar:
Microtask Detection. 17:1-17:29 - Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan:
Meaningful Answer Generation of E-Commerce Question-Answering. 18:1-18:26 - Andrea Esuli, Alessio Molinari, Fabrizio Sebastiani:
A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment. 19:1-19:34 - Maurizio Ferrari Dacrema, Simone Boglio, Paolo Cremonesi, Dietmar Jannach:
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research. 20:1-20:49 - Qingyao Ai, Tao Yang, Huazheng Wang, Jiaxin Mao:
Unbiased Learning to Rank: Online or Offline? 21:1-21:29 - Wei Wang, Longbing Cao:
VM-NSP: Vertical Negative Sequential Pattern Mining with Loose Negative Element Constraints. 22:1-22:27
Volume 39, Number 3, July 2021
- Min Zhang:
Editorial Message from the New Editor-in-Chief. 23e:1-23e:2 - Yanan Xu, Yanmin Zhu, Jiadi Yu:
Modeling Multiple Coexisting Category-Level Intentions for Next Item Recommendation. 23:1-23:24 - Wei Wang, Longbing Cao:
Interactive Sequential Basket Recommendation by Learning Basket Couplings and Positive/Negative Feedback. 24:1-24:26 - Hongtao Liu, Wenjun Wang, Qiyao Peng, Nannan Wu, Fangzhao Wu, Pengfei Jiao:
Toward Comprehensive User and Item Representations via Three-tier Attention Network. 25:1-25:22 - Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth:
Reinforcement Learning-based Collective Entity Alignment with Adaptive Features. 26:1-26:31 - Jing Yao, Zhicheng Dou, Jun Xu, Ji-Rong Wen:
RLPS: A Reinforcement Learning-Based Framework for Personalized Search. 27:1-27:29 - Jingyuan Wang, Xin Lin, Yuan Zuo, Junjie Wu:
DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management. 28:1-28:30 - Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft:
Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants. 29:1-29:30 - Jia Chen, Jiaxin Mao, Yiqun Liu, Ziyi Ye, Weizhi Ma, Chao Wang, Min Zhang, Shaoping Ma:
A Hybrid Framework for Session Context Modeling. 30:1-30:35 - Tung Thanh Vuong, Salvatore Andolina, Giulio Jacucci, Tuukka Ruotsalo:
Spoken Conversational Context Improves Query Auto-completion in Web Search. 31:1-31:32 - Tianchi Yang, Linmei Hu, Chuan Shi, Houye Ji, Xiaoli Li, Liqiang Nie:
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. 32:1-32:29 - Charles L. A. Clarke, Alexandra Vtyurina, Mark D. Smucker:
Assessing Top- Preferences. 33:1-33:21 - Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He:
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. 34:1-34:24 - Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla:
Inductive Contextual Relation Learning for Personalization. 35:1-35:22 - Elisa Mena-Maldonado, Rocío Cañamares, Pablo Castells, Yongli Ren, Mark Sanderson:
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation. 36:1-36:43 - Qi Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong:
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results. 37:1-37:32
Volume 39, Number 4, October 2021
- Claudia Hauff, Julia Kiseleva, Mark Sanderson, Hamed Zamani, Yongfeng Zhang:
Conversational Search and Recommendation: Introduction to the Special Issue. 38:1-38:6 - Paul Thomas, Mary Czerwinski, Daniel McDuff, Nick Craswell:
Theories of Conversation for Conversational IR. 39:1-39:23 - Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua:
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users. 40:1-40:29 - David Contreras, Maria Salamó, Ludovico Boratto:
Integrating Collaboration and Leadership in Conversational Group Recommender Systems. 41:1-41:32 - Daricia Wilkinson, Öznur Alkan, Q. Vera Liao, Massimiliano Mattetti, Inge Vejsbjerg, Bart P. Knijnenburg, Elizabeth Daly:
Why or Why Not? The Effect of Justification Styles on Chatbot Recommendations. 42:1-42:21 - Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng:
Target-guided Emotion-aware Chat Machine. 43:1-43:24 - Ruijian Xu, Chongyang Tao, Jiazhan Feng, Wei Wu, Rui Yan, Dongyan Zhao:
Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues. 44:1-44:28 - Juntao Li, Chang Liu, Chongyang Tao, Zhangming Chan, Dongyan Zhao, Min Zhang, Rui Yan:
Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots. 45:1-45:25 - Cataldo Musto, Fedelucio Narducci, Marco Polignano, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services. 46:1-46:34 - Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke:
Conversations with Search Engines: SERP-based Conversational Response Generation. 47:1-47:29 - Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Frassetto Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin:
Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting. 48:1-48:29 - Svitlana Vakulenko, Evangelos Kanoulas, Maarten de Rijke:
A Large-scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search. 49:1-49:32 - Johannes Kiesel, Lars Meyer, Martin Potthast, Benno Stein:
Meta-Information in Conversational Search. 50:1-50:44 - Aldo Lipani, Ben Carterette, Emine Yilmaz:
How Am I Doing?: Evaluating Conversational Search Systems Offline. 51:1-51:22 - Zeyang Liu, Ke Zhou, Max L. Wilson:
Meta-evaluation of Conversational Search Evaluation Metrics. 52:1-52:42 - Fulvio Corno, Luigi De Russis, Alberto Monge Roffarello:
From Users' Intentions to IF-THEN Rules in the Internet of Things. 53:1-53:33 - Rui Yan, Weiheng Liao, Dongyan Zhao, Ji-Rong Wen:
Multi-Response Awareness for Retrieval-Based Conversations: Respond with Diversity via Dynamic Representation Learning. 54:1-54:29
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