All Stories

  1. A Content- and Context-Aware Click Model based on Dynamic Graph Neural Networks
  2. The Effect of Task Complexity and Domain Expertise on Search Performance and User Behavior in Conversational Exploratory Search
  3. How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective
  4. Adapting LLMs for Personalized Evaluation of Explanations for Recommendations: A Meta-Learning Approach based on MAML
  5. Addressing Personalized Bias for Unbiased Learning to Rank
  6. Dense Retrieval for Aggregated Search
  7. CLUE: Using Large Language Models for Judging Document Usefulness in Web Search Evaluation
  8. FinS-Pilot: A Benchmark for Online Financial RAG System
  9. MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation
  10. Distributionally Robust Optimization for Unbiased Learning to Rank
  11. Exploring Human-Like Thinking in Search Simulations with Large Language Models
  12. A Flexible User Study Platform for Generative Information Retrieval
  13. Investigating the Robustness of Counterfactual Learning to Rank Models: A Reproducibility Study
  14. Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
  15. TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy
  16. MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification
  17. Investigating Users' Search Behavior and Outcome with ChatGPT in Learning-oriented Search Tasks
  18. Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval
  19. Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information
  20. Scaling Laws For Dense Retrieval
  21. USimAgent: Large Language Models for Simulating Search Users
  22. An Integrated Data Processing Framework for Pretraining Foundation Models
  23. CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models
  24. An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models
  25. An Intent Taxonomy of Legal Case Retrieval
  26. Improving First-stage Retrieval of Point-of-Interest Search by Pre-training Models
  27. Understanding the Multi-vector Dense Retrieval Models
  28. Constructing Tree-based Index for Efficient and Effective Dense Retrieval
  29. Session Search with Pre-trained Graph Classification Model
  30. A Passage-Level Reading Behavior Model for Mobile Search
  31. User Behavior Simulation for Search Result Re-ranking
  32. Understanding Relevance Judgments in Legal Case Retrieval
  33. Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models
  34. 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022
  35. Axiomatically Regularized Pre-training for Ad hoc Search
  36. Webformer
  37. Generating Clarifying Questions with Web Search Results
  38. Learning Probabilistic Box Embeddings for Effective and Efficient Ranking
  39. Global or Local: Constructing Personalized Click Models for Web Search
  40. A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation
  41. Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
  42. Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance
  43. POSSCORE
  44. Incorporating Query Reformulating Behavior into Web Search Evaluation
  45. Evaluating Relevance Judgments with Pairwise Discriminative Power
  46. A Hybrid Framework for Session Context Modeling
  47. Optimizing Dense Retrieval Model Training with Hard Negatives
  48. Investigating User Behavior in Legal Case Retrieval
  49. Investigating Session Search Behavior with Knowledge Graphs
  50. Unbiased Learning to Rank
  51. Constructing a Comparison-based Click Model for Web Search
  52. Towards a Better Understanding of Query Reformulation Behavior in Web Search
  53. Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation
  54. Challenges in designing a brain-machine search interface
  55. Neural Logic Reasoning
  56. Learning Better Representations for Neural Information Retrieval with Graph Information
  57. Preference-based Evaluation Metrics for Web Image Search
  58. Models Versus Satisfaction
  59. Cascade or Recency
  60. Investigating Reading Behavior in Fine-grained Relevance Judgment
  61. An Analysis of BERT in Document Ranking
  62. Modeling User Behavior for Vertical Search: Images, Apps and Products
  63. Leveraging Passage-level Cumulative Gain for Document Ranking
  64. "Revisiting information retrieval tasks with user behavior models" by Yiqun Liu and Jiaxin Mao with Martin Vesely as coordinator
  65. TianGong-ST
  66. Improving Web Image Search with Contextual Information
  67. Investigating the Learning Process in Job Search
  68. Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning
  69. Investigating the Reliability of Click Models
  70. Search Result Reranking with Visual and Structure Information Sources
  71. Teach Machine How to Read
  72. Towards Context-Aware Evaluation for Image Search
  73. Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment
  74. Human Behavior Inspired Machine Reading Comprehension
  75. SIGIR 2019 Tutorial on Explainable Recommendation and Search
  76. WWW’19 Tutorial on Explainable Recommendation and Search
  77. Grid-based Evaluation Metrics for Web Image Search
  78. Understanding Reading Attention Distribution during Relevance Judgement
  79. Unbiased Learning to Rank
  80. How Does Domain Expertise Affect Users’ Search Interaction and Outcome in Exploratory Search?
  81. Constructing Click Models for Mobile Search
  82. Towards Designing Better Session Search Evaluation Metrics
  83. ACM SIGIR Student Liaison Program
  84. "Satisfaction with Failure" or "Unsatisfied Success"
  85. Understanding and Predicting Usefulness Judgment in Web Search
  86. When does Relevance Mean Usefulness and User Satisfaction in Web Search?