All Stories

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