All Stories

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