All Stories

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