SIGIR 2023: all accepted papers
- Generative Information Retrieval ↗Marc Najork21 citations
- Multi-view Multi-aspect Neural Networks for Next-basket Recommendation ↗Zhiying Deng, Jianjun Li, Zhiqiang Guo et al.21 citations
- Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models ↗Yu-An Liu, Ruqing Zhang, Jiafeng Guo et al.21 citations
- Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences ↗Ashutosh Singh, Debasis Ganguly, Suchana Datta et al.21 citations
- Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems ↗Zhaochun Ren, Na Huang, Yidan Wang et al.20 citations
- Distillation-Enhanced Graph Masked Autoencoders for Bundle Recommendation ↗Yuyang Ren, Haonan Zhang, Luoyi Fu et al.20 citations
- Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks ↗Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum20 citations
- Learning Fine-grained User Interests for Micro-video Recommendation ↗Yu Shang, Chen Gao, Jiansheng Chen et al.20 citations
- Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation ↗Sen Zhao, Wei Wei, Xian-Ling Mao et al.20 citations
- Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation ↗Yang Zhang, Tianhao Shi, Fuli Feng et al.20 citations
- LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup ↗Heeyoon Yang, YunSeok Choi, Gahyung Kim et al.19 citations
- Multimodal Counterfactual Learning Network for Multimedia-based Recommendation ↗Shuaiyang Li, Dan Guo, Kang Liu et al.19 citations
- Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation ↗Jie Shuai, Le Wu, Kun Zhang et al.19 citations
- Decomposing Logits Distillation for Incremental Named Entity Recognition ↗Duzhen Zhang, Yahan Yu, Feilong Chen et al.18 citations
- MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce ↗Nolwenn Bernard, Krisztian Balog18 citations
- T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking ↗Xiaohui Xie, Qian Dong, Bingning Wang et al.18 citations
- A Static Pruning Study on Sparse Neural Retrievers ↗Carlos Lassance, Simon Lupart, Hervé Déjean et al.17 citations
- BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER ↗Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar et al.17 citations
- Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation ↗Chengkai Huang, Shoujin Wang, Xianzhi Wang et al.17 citations
- M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation ↗Zepeng Huai, Yuji Yang, Mengdi Zhang et al.17 citations
- Neighborhood-based Hard Negative Mining for Sequential Recommendation ↗Lu Fan, Jiashu Pu, Rongsheng Zhang et al.17 citations
- Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting Evidence ↗Xuming Hu, Zhaochen Hong, Zhijiang Guo et al.17 citations
- Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization ↗Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke17 citations
- Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval ↗Luyu Gao, Xueguang Ma, Jimmy Lin et al.17 citations
- A Personalized Dense Retrieval Framework for Unified Information Access ↗Hansi Zeng, Surya Teja Kallumadi, Zaid Alibadi et al.16 citations
- Continuous Input Embedding Size Search For Recommender Systems ↗Yunke Qu, Tong Chen, Xiangyu Zhao et al.16 citations
- Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity ↗Xiao Zhang, Ziming Ye, Jianfeng Lu et al.16 citations
- HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation ↗Shicheng Wang, Shu Guo, Lihong Wang et al.16 citations
- LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation ↗Petra Galuščáková, Romain Deveaud, Gabriela González-Sáez et al.16 citations
- Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation ↗Jihu Wang, Yuliang Shi, Han Yu et al.16 citations
- Multi-Scenario Ranking with Adaptive Feature Learning ↗Yu Tian, Bofang Li, Si Chen et al.16 citations
- Personalized Dynamic Recommender System for Investors ↗Takehiro Takayanagi, Chung-Chi Chen, Kiyoshi Izumi16 citations
- Poisoning Self-supervised Learning Based Sequential Recommendations ↗Yanling Wang, Yuchen Liu, Qian Wang et al.16 citations
- RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System ↗Kai Wang, Zhene Zou, Minghao Zhao et al.16 citations
- Wisdom of Crowds and Fine-Grained Learning for Serendipity Recommendations ↗Zhe Fu, Xi Niu, Yu Li16 citations
- A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services ↗Walid Bendada, Guillaume Salha-Galvan, Thomas Bouabça et al.15 citations
- Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization ↗Dengtian Lin, Liqiang Jing, Xuemeng Song et al.15 citations
- Editable User Profiles for Controllable Text Recommendations ↗Sheshera Mysore, Mahmood Jasim, Andrew McCallum et al.15 citations
- EmoUS: Simulating User Emotions in Task-Oriented Dialogues ↗Hsien-chin Lin, Shutong Feng, Christian Geishauser et al.15 citations
- FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning ↗Penghui Wei, Hongjian Dou, Shaoguo Liu et al.15 citations
- Form-NLU: Dataset for the Form Natural Language Understanding ↗Yihao Ding, Siqu Long, Jiabin Huang et al.15 citations
- Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language ↗Nicola Messina, Jan Sedmidubský, Fabrizio Falchi et al.15 citations
- Towards Multi-Interest Pre-training with Sparse Capsule Network ↗Zuoli Tang, Lin Wang, Lixin Zou et al.15 citations
- Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training ↗Ran Xu, Yue Yu, Joyce C. Ho et al.15 citations
- A Preference Learning Decoupling Framework for User Cold-Start Recommendation ↗Chunyang Wang, Yanmin Zhu, Aixin Sun et al.14 citations
- BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression ↗Anxo Pérez, Javier Parapar, Álvaro Barreiro et al.14 citations
- Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation ↗Siyu Wang, Xiaocong Chen, Quan Z. Sheng et al.14 citations
- Forget Me Now: Fast and Exact Unlearning in Neighborhood-based Recommendation ↗Sebastian Schelter, Mozhdeh Ariannezhad, Maarten de Rijke14 citations
- Multi-grained Representation Learning for Cross-modal Retrieval ↗Shengwei Zhao, Linhai Xu, Yuying Liu et al.14 citations
- Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems ↗Hitesh Sagtani, Madan Gopal Jhawar, Akshat Gupta et al.14 citations
- Query-specific Variable Depth Pooling via Query Performance Prediction ↗Debasis Ganguly, Emine Yılmaz14 citations
- SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes ↗Minghan Li, Sheng-Chieh Lin, Xueguang Ma et al.14 citations
- Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation ↗Jiahao Liu, Dongsheng Li, Hansu Gu et al.14 citations
- When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? ↗Yushun Dong, Jundong Li, Tobias Schnabel14 citations
- DocGraphLM: Documental Graph Language Model for Information Extraction ↗Dongsheng Wang, Zhiqiang Ma, Armineh Nourbakhsh et al.13 citations
- Embedding Based Retrieval in Friend Recommendation ↗Jiahui Shi, Vivek Chaurasiya, Yozen Liu et al.13 citations
- From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval ↗Jianfeng Dong, Xiaoman Peng, Zhe Ma et al.13 citations
- Gen-IR@SIGIR 2023: The First Workshop on Generative Information Retrieval ↗Garbiel Bénédict, Ruqing Zhang, Donald Metzler13 citations
- Intent-aware Ranking Ensemble for Personalized Recommendation ↗Jiayu Li, Peijie Sun, Zhefan Wang et al.13 citations
- Repetition and Exploration in Sequential Recommendation ↗Ming Li, Ali Vardasbi, Andrew Yates et al.13 citations
- TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks ↗M. J. Kim, Yeon-Chang Lee, Sang‐Wook Kim13 citations
- U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation ↗Yuanxing Liu, Weinan Zhang, Baohua Dong et al.13 citations
- Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation ↗Taichi Liu, Chen Gao, Zhenyu Wang et al.13 citations
- Enhancing Dynamic Image Advertising with Vision-Language Pre-training ↗Zhoufutu Wen, Xinyu Zhao, Zhipeng Jin et al.12 citations
- Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities ↗Kaixin Ji, Damiano Spina, Danula Hettiachchi et al.12 citations
- Optimizing Reciprocal Rank with Bayesian Average for improved Next Item Recommendation ↗Xiangkui Lu, Jun Wu, Jianbo Yuan12 citations
- RCENR: A Reinforced and Contrastive Heterogeneous Network Reasoning Model for Explainable News Recommendation ↗Hao Jiang, Chuanzhen Li, Juanjuan Cai et al.12 citations
- Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document Retrieval ↗Yifan Qiao, Yingrui Yang, Shanxiu He et al.12 citations
- Review-based Multi-intention Contrastive Learning for Recommendation ↗Wei Yang, Tengfei Huo, Zhiqiang Liu et al.12 citations
- SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval ↗Weize Kong, Jeffrey M. Dudek, Cheng Li et al.12 citations
- The JOKER Corpus: English-French Parallel Data for Multilingual Wordplay Recognition ↗Ермакова Лиана Магдановна, Anne-Gwenn Bosser, Adam Jatowt et al.12 citations
- The Tale of Two MSMARCO - and Their Unfair Comparisons ↗Carlos Lassance, Stéphane Clinchant12 citations
- Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning ↗Haoyu Gao, Rui Wang, Ting-En Lin et al.12 citations
- An Empirical Comparison of Web Content Extraction Algorithms ↗Janek Bevendorff, Sanket Gupta, Johannes Kiesel et al.11 citations
- Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation ↗Liangcai Su, Yan Bin Fan, Jieming Zhu et al.11 citations
- FairUP: A Framework for Fairness Analysis of Graph Neural Network-Based User Profiling Models ↗Mohamed Abdelrazek, Erasmo Purificato, Ludovico Boratto et al.11 citations
- JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions ↗Jiongnan Liu, Zhicheng Dou, Guoyu Tang et al.11 citations
- LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search ↗Qiao Jin, Ashley Shin, Zhiyong Lu11 citations
- MobileRec: A Large Scale Dataset for Mobile Apps Recommendation ↗M. H. Maqbool, Umar Farooq, Adib Mosharrof et al.11 citations
- Multimodal Neural Databases ↗Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà et al.11 citations
- SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction ↗Xuming Hu, Junzhe Chen, Shiao Meng et al.11 citations
- The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives ↗Jan Heinrich Reimer, Sebastian Schmidt, Maik Fröbe et al.11 citations
- TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data ↗Yueyang Su, Di Yao, Xiaolei Zhou et al.11 citations
- WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering ↗Yankai Chen, Yifei Zhang, Menglin Yang et al.11 citations
- A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis ↗Zengzhi Wang, Qiming Xie, Rui Xia10 citations
- A Topic-aware Summarization Framework with Different Modal Side Information ↗Xiuying Chen, Mingzhe Li, Shen Gao et al.10 citations
- ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction ↗Jinyun Li, Huiwen Zheng, Yuanlin Liu et al.10 citations
- Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity Recognition ↗Jingyun Xu, Yi Cai10 citations
- Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries ↗Felice Antonio Merra, Vito Walter Anelli, Tommaso Di Noia et al.10 citations
- Distributionally Robust Sequential Recommnedation ↗Rui Zhou, Xian Wei Wu, Zhaopeng Qiu et al.10 citations
- HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting ↗Jiaying Lu, Jiaming Shen, Bo Xiong et al.10 citations
- How Important is Periodic Model update in Recommender System? ↗Hyunsung Lee, Sungwook Yoo, D.H. Lee et al.10 citations
- HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer ↗Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi et al.10 citations
- MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling ↗Zijia Zhao, Longteng Guo, Xingjian He et al.10 citations
- Quantifying Ranker Coverage of Different Query Subspaces ↗Negar Arabzadeh, Amin Bigdeli, Radin Hamidi Rad et al.10 citations
- Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion ↗Donghan Yu, Yiming Yang10 citations
- SEA: A Scalable Entity Alignment System ↗Junyang Wu, Tianyi Li, Lu Chen et al.10 citations
- Soft Prompt Decoding for Multilingual Dense Retrieval ↗Zhiqi Huang, Hansi Zeng, Hamed Zamani et al.10 citations
- Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction ↗Xuming Hu, Zhaochen Hong, Chenwei Zhang et al.10 citations
- Uncertainty Quantification for Text Classification ↗Dell Zhang, Murat Şensoy, Masoud Makrehchi et al.10 citations
This page in Markdown → https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/2023/papers/page/2/