All Stories

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