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Towards Conversational Recommendation over Multi-Type Dialogs

arXiv 2005.03954 ↗First posted 8 May 2020cs.CL cs.AIcited by 107

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Abstract (arXiv)

We propose a new task of conversational recommendation over multi-type dialogs, where the bots can proactively and naturally lead a conversation from a non-recommendation dialog (e.g., QA) to a recommendation dialog, taking into account user's interests and feedback. To facilitate the study of this task, we create a human-to-human Chinese dialog dataset DuRecDial (about 10k dialogs, 156k utterances), which contains multiple sequential dialogs for every pair of a recommendation seeker (user) and a recommender (bot). In each dialog, the recommender proactively leads a multi-type dialog to approach recommendation targets and then makes multiple recommendations with rich interaction behavior. This dataset allows us to systematically investigate different parts of the overall problem, e.g., how to naturally lead a dialog, how to interact with users for recommendation. Finally we establish baseline results on DuRecDial for future studies. Dataset and codes are publicly available at https://github.com/PaddlePaddle/models/tree/develop/PaddleNLP/Research/ACL2020-DuRecDial.

Key facts. Cited by 107 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 May 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 16; 2022: 20; 2023: 24; 2024: 16; 2025: 20; 2026: 11.

107 papers.

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  1. 2021Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Surveycited by 130
  2. 2021Advances and Challenges in Conversational Recommender Systems: A Surveycited by 118
  3. 2023A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospectscited by 66
  4. 2024Towards Human-centered Proactive Conversational Agentscited by 48
  5. 2021RevCore: Review-augmented Conversational Recommendationcited by 47
  6. 2021DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendationcited by 46
  7. 2021Learning to Ask Appropriate Questions in Conversational Recommendationcited by 35
  8. 2021CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversationcited by 35
  9. 2024Proactive Conversational Agents with Inner Thoughtscited by 35
  10. 2021CRSLab: An Open-Source Toolkit for Building Conversational Recommender Systemcited by 34
  11. 2022A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systemscited by 32
  12. 2023Controllable Mixed-Initiative Dialogue Generation through Promptingcited by 32
38 more
  1. 2022EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Trainingcited by 31
  2. 2022User-Centric Conversational Recommendation with Multi-Aspect User Modelingcited by 29
  3. 2023CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Modelscited by 25
  4. 2021Learning Neural Templates for Recommender Dialogue Systemcited by 22
  5. 2022Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendationcited by 22
  6. 2022SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialoguescited by 16
  7. 2023Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialoguecited by 15
  8. 2024Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Datasetcited by 15
  9. 2025HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple Devicescited by 15
  10. 2021KECRS: Towards Knowledge-Enriched Conversational Recommendation Systemcited by 14
  11. 2021RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Modelscited by 14
  12. 2023Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialoguecited by 14
  13. 2023MidMed: Towards Mixed-Type Dialogues for Medical Consultationcited by 13
  14. 2022Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goalscited by 12
  15. 2023U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendationcited by 12
  16. 2024The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trendscited by 11
  17. 2022Hierarchical Conversational Preference Elicitation with Bandit Feedbackcited by 10
  18. 2023Improving Conversational Recommendation Systems via Counterfactual Data Simulationcited by 10
  19. 2025Wizard of Shopping: Target-Oriented E-commerce Dialogue Generation with Decision Tree Branchingcited by 10
  20. 2025Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational Historycited by 10
  21. 2026Mem2Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillationcited by 10
  22. 2021Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goalscited by 9
  23. 2022Conversational Recommendation: A Grand AI Challengecited by 9
  24. 2023Talk the Walk: Synthetic Data Generation for Conversational Music Recommendationcited by 9
  25. 2024Parameter-Efficient Conversational Recommender System as a Language Processing Taskcited by 9
  26. 2025RETAIL: Towards Real-world Travel Planning for Large Language Modelscited by 9
  27. 2021Recommender systems based on graph embedding techniques: A comprehensive reviewcited by 8
  28. 2022Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systemscited by 8
  29. 2024Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systemscited by 8
  30. 2025TransBench: Breaking Barriers for Transferable Graphical User Interface Agents in Dynamic Digital Environmentscited by 8
  31. 2025Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capabilitycited by 7
  32. 2022Aligning Recommendation and Conversation via Dual Imitationcited by 6
  33. 2023EZInterviewer: To Improve Job Interview Performance with Mock Interview Generatorcited by 6
  34. 2023Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Datasetcited by 6
  35. 2024Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialoguecited by 6
  36. 2021TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue Systemcited by 5
  37. 2022OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experiencecited by 5
  38. 2023NewsDialogues: Towards Proactive News Grounded Conversationcited by 5

50 most cited of 107 All 107 (JSON)