Conversational Recommendation

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 57 papers with code (140 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
  22 Feb 2022 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  The progress of recommender systems is hampered mainly by evaluation as it requires real-time interactions between humans and systems, which is too laborious and expensive.
• MACRec: a Multi-Agent Collaboration Framework for Recommendation
  23 Feb 2024 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  LLM-based agents have gained considerable attention for their decision-making skills and ability to handle complex tasks.
• Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
  2 Apr 2022 2 repositories listed Syntology ran 3 of 9 samples · 6 unverified · 2 pointer-only (licence)
  Employing existing user simulators to evaluate TDSs is challenging as user simulators are primarily designed to optimize dialogue policies for TDSs and have limited evaluation capabilities.
• Towards Topic-Guided Conversational Recommender System
  8 Oct 2020 2 repositories listed
  To develop an effective CRS, the support of high-quality datasets is essential.
• Towards Conversational Recommendation over Multi-Type Dialogs
  8 May 2020 2 repositories listed
  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.
• LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation
  30 Mar 2025 1 repository listed
  To address this challenge, we propose LaViC (Large Vision-Language Conversational Recommendation Framework), a novel approach that integrates compact image representations into dialogue-based recommendation systems.
• Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
  27 Mar 2025 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  Conversational recommender systems (CRSs) are designed to suggest the target item that the user is likely to prefer through multi-turn conversations.
• Harmonizing Large Language Models with Collaborative Behavioral Signals for Conversational Recommendation
  12 Mar 2025 1 repository listed
  Specifically, the framework first derives latent preference representations through established collaborative filtering techniques, then employs these representations to jointly refine both the linguistic preference…
• Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
  19 Feb 2025 1 repository listed
  Conversational recommender systems (CRS) aim to provide personalized recommendations via interactive dialogues with users.
• Unveiling User Preferences: A Knowledge Graph and LLM-Driven Approach for Conversational Recommendation
  16 Nov 2024 1 repository listed
  To address integration challenges, COMPASS employs a two-stage training approach: first, it bridges the gap between the structured KG and natural language through an innovative graph entity captioning pre-training…
• SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search
  12 Oct 2024 1 repository listed
  S-planner builds a conversational search tree with MCTS based on the initial actions proposed by S-agent to find conversation plans.
• Conversational Dueling Bandits in Generalized Linear Models
  26 Jul 2024 1 repository listed
  Conversational recommendation systems elicit user preferences by interacting with users to obtain their feedback on recommended commodities.
• Identifying Breakdowns in Conversational Recommender Systems using User Simulation
  23 May 2024 1 repository listed
  We present a methodology to systematically test conversational recommender systems with regards to conversational breakdowns.
• A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems
  13 May 2024 1 repository listed
  Through experiments and case studies in two conversational recommendation scenarios, we show that our framework can adapt to a variety of conversational recommendation settings and effectively simulate users'…
• Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systems
  17 Apr 2024 1 repository listed
  To fill this gap, we propose Behavior Alignment, a new evaluation metric to measure how well the recommendation strategies made by a LLM-based CRS are consistent with human recommenders'.
• Concept -- An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors
  4 Apr 2024 1 repository listed
  The conversational recommendation system (CRS) has been criticized regarding its user experience in real-world scenarios, despite recent significant progress achieved in academia.
• Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
  13 Mar 2024 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  Synthetic users are cost-effective proxies for real users in the evaluation of conversational recommender systems.
• Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
  7 Mar 2024 1 repository listed
  Our experimental results demonstrate that utterances in PEARL include more specific user preferences, show expertise in the target domain, and provide recommendations more relevant to the dialogue context than those in…
• IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User Modeling
  1 Mar 2024 1 repository listed
  While interest in conversational recommender systems has been on the rise, operational systems suitable for serving as research platforms for comprehensive studies are currently lacking.
• RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
  23 Feb 2024 1 repository listed Syntology ran 7 of 13 samples · 6 unverified · 13 pointer-only (licence)
  We present a new Python toolkit called RecWizard for Conversational Recommender Systems (CRS).
• Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation
  30 Dec 2023 1 repository listed
  In this paper, we propose Dual-space Hierarchical Learning (DHL) to leverage multi-level goal sequences and their hierarchical relationships for conversational recommendation.
• Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge Distillation
  27 Oct 2023 1 repository listed
  In Conversational Recommendation System (CRS), an agent is asked to recommend a set of items to users within natural language conversations.
• Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation
  27 Oct 2023 1 repository listed
  Conversational Recommender Systems (CRS) illuminate user preferences via multi-round interactive dialogues, ultimately navigating towards precise and satisfactory recommendations.
• Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation
  25 Oct 2023 1 repository listed Syntology ran 3 of 4 samples · 1 unverified
  Conversational Recommendation System (CRS) is a rapidly growing research area that has gained significant attention alongside advancements in language modelling techniques.
• Large Language Models as Zero-Shot Conversational Recommenders
  19 Aug 2023 1 repository listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  In this paper, we present empirical studies on conversational recommendation tasks using representative large language models in a zero-shot setting with three primary contributions.
• Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation
  26 Jul 2023 1 repository listed
  Specifically, MHCPL timely chooses useful social information according to the interactive history and builds a dynamic hypergraph with three types of multiplex relations from different views.
• TREA: Tree-Structure Reasoning Schema for Conversational Recommendation
  20 Jul 2023 1 repository listed Syntology ran 12 of 20 samples · 8 unverified · 20 pointer-only (licence)
  TREA constructs a multi-hierarchical scalable tree as the reasoning structure to clarify the causal relationships between mentioned entities, and fully utilizes historical conversations to generate more reasonable and…
• DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
  19 Jul 2023 1 repository listed
  Despite advancements in conversational AI, language models encounter challenges to handle diverse conversational tasks, and existing dialogue dataset collections often lack diversity and comprehensiveness.
• Improving Conversational Recommendation Systems via Counterfactual Data Simulation
  5 Jun 2023 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  To develop our approach, we characterize user preference and organize the conversation flow by the entities involved in the dialogue, and design a multi-stage recommendation dialogue simulator based on a conversation…
• Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
  22 May 2023 1 repository listed Syntology ran 2 of 17 samples · 15 unverified
  The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs.

Syntology lines on 11 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.