mlsanityData to 7 Oct 2026

Towards Topic-Guided Conversational Recommender System

arXiv 2010.04125 ↗First posted 8 Oct 2020cs.CL cs.HC cs.IRcited by 94

Not on the map. Why?

Abstract (arXiv)

Conversational recommender systems (CRS) aim to recommend high-quality items to users through interactive conversations. To develop an effective CRS, the support of high-quality datasets is essential. Existing CRS datasets mainly focus on immediate requests from users, while lack proactive guidance to the recommendation scenario. In this paper, we contribute a new CRS dataset named TG-ReDial (Recommendation through Topic-Guided Dialog). Our dataset has two major features. First, it incorporates topic threads to enforce natural semantic transitions towards the recommendation scenario. Second, it is created in a semi-automatic way, hence human annotation is more reasonable and controllable. Based on TG-ReDial, we present the task of topic-guided conversational recommendation, and propose an effective approach to this task. Extensive experiments have demonstrated the effectiveness of our approach on three sub-tasks, namely topic prediction, item recommendation and response generation. TG-ReDial is available at https://github.com/RUCAIBox/TG-ReDial.

Key facts. Cited by 94 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Oct 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 10; 2022: 19; 2023: 28; 2024: 17; 2025: 11; 2026: 9.

94 papers.

Sort:

By area:

  1. 2023How Can Recommender Systems Benefit from Large Language Models: A Surveycited by 141
  2. 2023Large Language Models as Zero-Shot Conversational Recommenderscited by 126
  3. 2021Advances and Challenges in Conversational Recommender Systems: A Surveycited by 118
  4. 2023Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaborationcited by 115
  5. 2022Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learningcited by 85
  6. 2023Leveraging Large Language Models in Conversational Recommender Systemscited by 63
  7. 2021DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendationcited by 46
  8. 2024A Multi-Agent Conversational Recommender Systemcited by 42
  9. 2021CRSLab: An Open-Source Toolkit for Building Conversational Recommender Systemcited by 34
  10. 2022A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systemscited by 32
  11. 2025Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learningcited by 32
  12. 2023A Large Language Model Enhanced Conversational Recommender Systemcited by 31
38 more
  1. 2022XPrompt: Exploring the Extreme of Prompt Tuningcited by 30
  2. 2022User-Centric Conversational Recommendation with Multi-Aspect User Modelingcited by 29
  3. 2022C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender Systemcited by 24
  4. 2023Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curationcited by 23
  5. 2021Learning Neural Templates for Recommender Dialogue Systemcited by 22
  6. 2022Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendationcited by 22
  7. 2024A Survey of Conversational Searchcited by 22
  8. 2022SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialoguescited by 16
  9. 2023TREA: Tree-Structure Reasoning Schema for Conversational Recommendationcited by 15
  10. 2023Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialoguecited by 15
  11. 2024Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Datasetcited by 15
  12. 2021KECRS: Towards Knowledge-Enriched Conversational Recommendation Systemcited by 14
  13. 2021RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Modelscited by 14
  14. 2023U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendationcited by 12
  15. 2023Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentationcited by 11
  16. 2024Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systemscited by 11
  17. 2024The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trendscited by 11
  18. 2022Hierarchical Conversational Preference Elicitation with Bandit Feedbackcited by 10
  19. 2023Improving Conversational Recommendation Systems via Counterfactual Data Simulationcited by 10
  20. 2023Talk the Walk: Synthetic Data Generation for Conversational Music Recommendationcited by 9
  21. 2024Parameter-Efficient Conversational Recommender System as a Language Processing Taskcited by 9
  22. 2024Towards Empathetic Conversational Recommender Systemscited by 9
  23. 2021Recommender systems based on graph embedding techniques: A comprehensive reviewcited by 8
  24. 2022Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systemscited by 8
  25. 2024Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systemscited by 8
  26. 2022Meta Policy Learning for Cold-Start Conversational Recommendationcited by 6
  27. 2023Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Datasetcited by 6
  28. 2024Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialoguecited by 6
  29. 2024Simulating Task-Oriented Dialogues with State Transition Graphs and Large Language Modelscited by 6
  30. 2021TopicRefine: Joint Topic Prediction and Dialogue Response Generation for Multi-turn End-to-End Dialogue Systemcited by 5
  31. 2021Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Modelscited by 5
  32. 2022OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experiencecited by 5
  33. 2023Multi-grained Hypergraph Interest Modeling for Conversational Recommendationcited by 5
  34. 2023Alleviating the Long-Tail Problem in Conversational Recommender Systemscited by 5
  35. 2024Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modellingcited by 5
  36. 2025Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender Systemcited by 5
  37. 2022INSPIRED2: An Improved Dataset for Sociable Conversational Recommendationcited by 4
  38. 2022COLA: Improving Conversational Recommender Systems by Collaborative Augmentationcited by 4

50 most cited of 94 All 94 (JSON)