All Stories

  1. Online and Offline Evaluation in Search Clarification
  2. Special Issue on Conversational Information Seeking
  3. First Workshop on Generative AI for Recommender Systems and Personalization
  4. Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
  5. Third Workshop on Personalization and Recommendations in Search (PaRiS)
  6. Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models
  7. The Second Workshop on Large Language Models for Individuals, Groups, and Society
  8. ProCIS: A Benchmark for Proactive Retrieval in Conversations
  9. Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding
  10. Evaluating Retrieval Quality in Retrieval-Augmented Generation
  11. Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation
  12. Scalable and Effective Generative Information Retrieval
  13. WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society
  14. The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024)
  15. Generalized Weak Supervision for Neural Information Retrieval
  16. Large Language Model Augmented Narrative Driven Recommendations
  17. Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering
  18. A Personalized Dense Retrieval Framework for Unified Information Access
  19. Editable User Profiles for Controllable Text Recommendations
  20. FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
  21. Soft Prompt Decoding for Multilingual Dense Retrieval
  22. Multivariate Representation Learning for Information Retrieval
  23. A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering
  24. SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023)
  25. The 2nd Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom)
  26. Tutorials at The Web Conference 2023
  27. Revisiting Open Domain Query Facet Extraction and Generation
  28. Stochastic Retrieval-Conditioned Reranking
  29. Conversational Information Seeking
  30. Curriculum Learning for Dense Retrieval Distillation
  31. MIMICS-Duo
  32. Retrieval-Enhanced Machine Learning
  33. Conversational Search and Recommendation: Introduction to the Special Issue
  34. Learning Multiple Intent Representations for Search Queries
  35. Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants
  36. Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence
  37. Passage Retrieval for Outside-Knowledge Visual Question Answering
  38. Current Challenges and Future Directions in Podcast Information Access
  39. Learning Robust Dense Retrieval Models from Incomplete Relevance Labels
  40. Generalizing Discriminative Retrieval Models using Generative Tasks
  41. Tip of the Tongue Known-Item Retrieval
  42. Generating Clarifying Questions for Information Retrieval
  43. Neural models for information retrieval without labeled data
  44. An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation
  45. Performance Prediction for Non-Factoid Question Answering
  46. Analyzing and Predicting News Popularity in an Instant Messaging Service
  47. Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
  48. From Neural Re-Ranking to Neural Ranking
  49. In Situ and Context-Aware Target Apps Selection for Unified Mobile Search
  50. Neural Query Performance Prediction using Weak Supervision from Multiple Signals
  51. Universal Approximation Functions for Fast Learning to Rank
  52. SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval
  53. ACM SIGIR Student Liaison Program
  54. Neural Ranking Models with Multiple Document Fields
  55. Improving Retrieval Performance for Verbose Queries via Axiomatic Analysis of Term Discrimination Heuristic
  56. Relevance-based Word Embedding
  57. Word Embedding Causes Topic Shifting; Exploit Global Context!
  58. Situational Context for Ranking in Personal Search
  59. Pseudo-Relevance Feedback Based on Matrix Factorization
  60. Axiomatic Analysis for Improving the Log-Logistic Feedback Model