ACM Transactions on Information Systems 2023: all accepted papers
- How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments ↗Kevin Roitero, David La Barbera, Michael Soprano et al.8 citations
- Improving First-stage Retrieval of Point-of-interest Search by Pre-training Models ↗Lang Mei, Jiaxin Mao, Juanli Hu et al.8 citations
- Personalized Query Expansion with Contextual Word Embeddings ↗Elias Bassani, Nicola Tonellotto, Gabriella Pasi8 citations
- Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics ↗Kaixi Hu, Lin Li, Qing Xie et al.7 citations
- Heterogeneous Evolution Network Embedding with Temporal Extension for Intelligent Tutoring Systems ↗Sannyuya Liu, Shengyingjie Liu, Zongkai Yang et al.7 citations
- Selective Query Processing: A Risk-Sensitive Selection of Search Configurations ↗Josiane Mothe, Md Zia Ullah7 citations
- A Review Selection Method Based on Consumer Decision Phases in E-commerce ↗Jin Zhang, Xinrui Li, Liye Wang6 citations
- Enhancing Multi-View Smoothness for Sequential Recommendation Models ↗Kun Zhou, Hui Wang, Ji-Rong Wen et al.6 citations
- Triple Dual Learning for Opinion-based Explainable Recommendation ↗Yuting Zhang, Ying Qiu Sun, Fuzhen Zhuang et al.6 citations
- NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework ↗Shicheng Xu, Liang Pang, Huawei Shen et al.5 citations
- Person-action Instance Search in Story Videos: An Experimental Study ↗Yanrui Niu, Chao Liang, Ankang Lu et al.5 citations
- Teach and Explore: A Multiplex Information-guided Effective and Efficient Reinforcement Learning for Sequential Recommendation ↗Surong Yan, Chenglong Shi, Haosen Wang et al.5 citations
- Better Understanding Procedural Search Tasks: Perceptions, Behaviors, and Challenges ↗Bogeum Choi, Sarah Casteel, Jaime Arguello et al.4 citations
- (Un)likelihood Training for Interpretable Embedding ↗Jiaxin Wu, Chong‐Wah Ngo, W. K. Chan et al.3 citations
- On the Impact of Showing Evidence from Peers in Crowdsourced Truthfulness Assessments ↗Jiechen Xu, Lei Han, Shazia Wasim Sadiq et al.3 citations
- Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1 ↗Hongzhi Yin, Yizhou Sun, Guandong Xu et al.3 citations
- Unifying Token- and Span-level Supervisions for Few-shot Sequence Labeling ↗Zifeng Cheng, Qingyu Stephanie Zhou, Zhiwei Jiang et al.3 citations
- On the Ordering of Pooled Web Pages, Gold Assessments, and Bronze Assessments ↗Tetsuya Sakai, Sijie Tao, Nuo Chen et al.2 citations
- Personalized and Diversified: Ranking Search Results in an Integrated Way ↗Shuting Wang, Zhicheng Dou, Jiongnan Liu et al.2 citations
- Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue ↗Longxuan Ma, Jiapeng Li, Mingda Li et al.2 citations
- Syntactic-Informed Graph Networks for Sentence Matching ↗Chen Xu, Jun Xu, Zhenhua Dong et al.2 citations
- Towards Efficient Coarse-grained Dialogue Response Selection ↗Tian Lan, Xian-Ling Mao, Wei Wei et al.2 citations
- Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems ↗Zhengbang Zhu, Rongjun Qin, Junjie Huang et al.2 citations
- rHDP: An Aspect Sharing-Enhanced Hierarchical Topic Model for Multi-Domain Corpus ↗Yitao Zhang, Changxuan Wan, Keli Xiao et al.2 citations
- Contextualizing and Expanding Conversational Queries without Supervision ↗Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas1 citation
- BERD+: A Generic Sequential Recommendation Framework by Eliminating Unreliable Data with Item- and Attribute-level Signals ↗Yatong Sun, Xiaochun Yang, Zhu Sun et al.
- Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2 ↗Hongzhi Yin, Yizhou Sun, Guandong Xu et al.
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