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A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems

https://doi.org/10.1145/3570640
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1145/3166054.3166058openalex-snapshot
A Survey on Dialogue Systems
inferredcites →https://doi.org/10.1162/tacl_a_00390openalex-snapshot
Pretraining the Noisy Channel Model for Task-Oriented Dialogue
inferredcites →https://doi.org/10.18653/v1/2021.acl-demo.22openalex-snapshot
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.55openalex-snapshot
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems
inferredcites →https://doi.org/10.18653/v1/2021.acl-short.64openalex-snapshot
Towards Generative Aspect-Based Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.726openalex-snapshot
Aspect Sentiment Quad Prediction as Paraphrase Generation
inferredcites →https://doi.org/10.24963/ijcai.2019/706openalex-snapshot
Learning to Select Knowledge for Response Generation in Dialog Systems
inferredcites →https://doi.org/10.48550/arxiv.1910.10683openalex-snapshot
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
inferredcites →https://doi.org/10.48550/arxiv.2005.05298openalex-snapshot
SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multi-task Collaborative Network for Image-Text Retrieval
inferred← citeshttps://doi.org/10.1007/978-3-032-13509-4_16openalex-snapshot
Exploring the Evolution of Recommender Systems Through Social Network Analysis
inferred← citeshttps://doi.org/10.1007/978-3-032-21300-6_13openalex-snapshot
Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-Based Reranking
inferred← citeshttps://doi.org/10.1007/978-981-95-0011-6_42openalex-snapshot
Two-Stage Semantic Enhancement for Open Information Extraction
inferred← citeshttps://doi.org/10.1007/978-981-95-4155-3_15openalex-snapshot
Emotion-Based Conversational Recommendation by Inferring Implicit Users’ Preferences from Their Subjective Claims
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Web Personalization with Large Language Models: Challenges and Future Trends
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Nutriconv: multitask learning framework for digital dietary tracking trained on EFSA’s pancake dataset
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Comparative analysis of methodologies and approaches in recommender systems utilizing large language models
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Exploring unanswerability in machine reading comprehension: approaches, benchmarks, and open challenges
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Multi-grained hypergraph interest modeling for conversational recommendation
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Willing and able: Task recommendation with a trade-off of the bilateral benefits for knowledge-intensive crowdsourcing
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HKGCL: Hierarchical graph contrastive learning for multi-domain recommendation over knowledge graph
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Recommendation feedback-based dynamic adaptive training for efficient social item recommendation
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KLLMs4Rec: Knowledge graph-enhanced LLMs sentiment extraction for personalized recommendations
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Multi-target prediction in volatolomics with deep neural networks: Modeling volatile organic compounds produced by Brochothrix thermosphacta under modified atmospheres
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Adaptive knowledge-augmented multi-domain recommendation with large language models
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Multi-type context-aware conversational recommender systems via mixture-of-experts
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103631openalex-snapshot
Joint inter-word and inter-sentence multi-relation modeling for summary-based recommender system
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104919openalex-snapshot
Densifying Knowledge Hypergraphs with LLM-based review distillation for conversational consumer decision support
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132510openalex-snapshot
Advances and challenges of multi-task learning method in recommender systems: A survey
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01214openalex-snapshot
MuseChat: A Conversational Music Recommendation System for Videos
inferred← citeshttps://doi.org/10.1109/esci63694.2025.10988381openalex-snapshot
CAMICS: A Context-Aware Multi-Intent Conversational System for Enhanced AI-Driven Customer Interaction Models
inferred← citeshttps://doi.org/10.1109/iacis61494.2024.10721621openalex-snapshot
Design of Artificial Intelligence Response System for Virtual Teaching and Research Room based on Improved TDNN Model
inferred← citeshttps://doi.org/10.1109/jproc.2024.3435012openalex-snapshot
When Multitask Learning Meets Partial Supervision: A Computer Vision Review
inferred← citeshttps://doi.org/10.1109/jsen.2024.3390231openalex-snapshot
Joint Analysis of Acoustic Scenes and Sound Events in Multitask Learning Based on Cross_MMoE Model and Class-Balanced Loss
inferred← citeshttps://doi.org/10.1109/pst62714.2024.10788074openalex-snapshot
A Comprehensive Study on Multi-Task Learning for Domain Generation Algorithm (DGA) Detection
inferred← citeshttps://doi.org/10.1109/tai.2025.3558183openalex-snapshot
Parallel Inductive Shift Learning Based Recommendation System
inferred← citeshttps://doi.org/10.1109/tkde.2022.3225109openalex-snapshot
Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tkde.2024.3392335openalex-snapshot
Recommender Systems in the Era of Large Language Models (LLMs)
inferred← citeshttps://doi.org/10.1109/tkde.2024.3523283openalex-snapshot
Conversational Recommendations With User Entity Focus and Multi-Granularity Latent Variable Enhancement
inferred← citeshttps://doi.org/10.1109/tkde.2026.3719576openalex-snapshot
AdaPrompt: Adaptive Prompt Learning to Alleviate Semantic Inconsistency for Conversational Recommendation
inferred← citeshttps://doi.org/10.1117/12.3011592openalex-snapshot
A study of multi-intentional interrogative comprehension methods in the field of tourism
inferred← citeshttps://doi.org/10.1145/3604915.3610642openalex-snapshot
Learning the True Objectives of Multiple Tasks in Sequential Behavior Modeling
inferred← citeshttps://doi.org/10.1145/3623381openalex-snapshot
OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience
inferred← citeshttps://doi.org/10.1145/3624918.3629548openalex-snapshot
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond
inferred← citeshttps://doi.org/10.1145/3626772.3657843openalex-snapshot
Towards Human-centered Proactive Conversational Agents
inferred← citeshttps://doi.org/10.1145/3640457.3688133openalex-snapshot
Towards Empathetic Conversational Recommender Systems
inferred← citeshttps://doi.org/10.1145/3651312openalex-snapshot
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System
inferred← citeshttps://doi.org/10.1145/3652598openalex-snapshot
Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue
inferred← citeshttps://doi.org/10.1145/3677376openalex-snapshot
Knowledge-Enhanced Conversational Recommendation via Transformer-Based Sequential Modeling
inferred← citeshttps://doi.org/10.1145/3678004openalex-snapshot
How Can Recommender Systems Benefit from Large Language Models: A Survey
inferred← citeshttps://doi.org/10.1145/3705328.3748089openalex-snapshot
USB-Rec: An Effective Framework for Improving Conversational Recommendation Capability of Large Language Model
inferred← citeshttps://doi.org/10.1145/3705328.3748152openalex-snapshot
Model Meets Knowledge: Analyzing Knowledge Types for Conversational Recommender Systems
inferred← citeshttps://doi.org/10.1145/3706598.3713347openalex-snapshot
User Experience with LLM-powered Conversational Recommendation Systems: A Case of Music Recommendation
inferred← citeshttps://doi.org/10.1145/3712588openalex-snapshot
Augmentation with Neighboring Information for Conversational Recommendation
inferred← citeshttps://doi.org/10.1145/3715097openalex-snapshot
Proactive Conversational AI: A Comprehensive Survey of Advancements and Opportunities
inferred← citeshttps://doi.org/10.1145/3717831openalex-snapshot
Vague Preference Policy Learning for Conversational Recommendation
inferred← citeshttps://doi.org/10.1145/3736403openalex-snapshot
Efficient Multi-task Prompt Tuning for Recommendation
inferred← citeshttps://doi.org/10.1145/3743093.3770941openalex-snapshot
Sequence-augmented Conversational Recommendation System Based on Diffusion Models for Personalized Cultural Exploration
inferred← citeshttps://doi.org/10.1145/3771276openalex-snapshot
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3773966.3777947openalex-snapshot
Leveraging Retrieval-Augmented Language Models for Accurate Item/Feature Selection in Conversational Recommender Systems
inferred← citeshttps://doi.org/10.1162/tacl_a_00619openalex-snapshot
Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems
inferred← citeshttps://doi.org/10.1561/3300000050openalex-snapshot
Recommender Systems Meet Large Language Model Agents: A Survey
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MIGA: A Unified Multi-Task Generation Framework for Conversational Text-to-SQL
inferred← citeshttps://doi.org/10.1609/aaai.v38i17.29930openalex-snapshot
A Goal Interaction Graph Planning Framework for Conversational Recommendation
inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.469openalex-snapshot
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-tutorials.1openalex-snapshot
Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.621openalex-snapshot
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.775openalex-snapshot
Reinforced Target-driven Conversational Promotion
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.840openalex-snapshot
Towards a Unified Conversational Recommendation System: Multi-task Learning via Contextualized Knowledge Distillation
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.462openalex-snapshot
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.641openalex-snapshot
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.643openalex-snapshot
Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.711openalex-snapshot
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.806openalex-snapshot
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs
inferred← citeshttps://doi.org/10.2196/preprints.78260openalex-snapshot
Image Segmentation and Recognition Algorithm for Interventional Treatment of Vascular Diseases Based on CNN (Preprint)
inferred← citeshttps://doi.org/10.24963/ijcai.2023/738openalex-snapshot
A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects
inferred← citeshttps://doi.org/10.32604/cmc.2024.047167openalex-snapshot
Enhancing Multicriteria-Based Recommendations by Alleviating Scalability and Sparsity Issues Using Collaborative Denoising Autoencoder
inferred← citeshttps://doi.org/10.32604/cmc.2025.066244openalex-snapshot
MAMGBR: Group-Buying Recommendation Model Based on Multi-Head Attention Mechanism and Multi-Task Learning
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Enhancing Personalized Recommendations: A Study on the Efficacy of Multi-Task Learning and Feature Integration
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Clarifying user Preference with Maximum Entropy Based Recommendation
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