GitHub - WHUIR/Multi-Interest-Recommendation-A-Survey

Multi-Interest Recommendation: A Survey

Zihao Li¹, Qiang Chen², Aixin Sun³,
Chenliang Li^1*,

¹Wuhan University
²Wechat Search, Tencent Inc.
³Nanyang Technological University, Singapore

^*Corresponding author: Chenliang Li (cllee@whu.edu.cn).

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🔗 Introduction

📚 Based on the survey paper "Multi-Interest Recommendation: A Survey", this repository contains a curated list of papers on multi-interest recommendation published in top venues. We hope to provide a more comprehensive literature base for the multi-interest recommendation research and the industrial community.

🗂️ Classification of Multi-Interest Recommendation

Continuously updating!

🤗 Welcome to update this repository by launching an issue or a pull request if you find any missing resources or want to include some new papers.

Multi-Interest-Recommendation

🎯 Representative Works

(MIND 2019) Multi-interest network with dynamic routing for recommendation at Tmall [Paper]
(DMIN 2020) Deep Multi-Interest Network for Click-through Rate Prediction [Paper]
(MTIN 2020) What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation [Paper]
(ComiRec 2020) Controllable Multi-Interest Framework for Recommendation [Paper]
(SINE 2021) Sparse-Interest Network for Sequential Recommendation [Paper]
(PIMI 2021) Exploring Periodicity and Interactivity in Multi-Interest Framework for Sequential Recommendation [Paper]
(MINER 2022) MINER: Multi-Interest Matching Network for News Recommendation [Paper]
(MIPL 2022) Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation [Paper]
(Re4 2022) Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation [Paper]
(MGNM 2022) When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation [Paper]
(IESRec 2023) Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation [Paper]

📜 Taxonomy

Tasks [Back to Top]

🚩 Sequential Recommendation

(CIKM 2019) Multi-interest network with dynamic routing for recommendation at Tmall [Paper]
(KDD 2020) Controllable Multi-Interest Framework for Recommendation [Paper]
(SIGIR 2020) MRIF: Multi-resolution Interest Fusion for Recommendation [Paper]
(TOIS 2021) Multi-interest Diversification for End-to-end Sequential Recommendation [Paper]
(SIGIR 2022) Improving Micro-video Recommendation via Contrastive Multiple Interests [Paper]
(SIGIR 2022) When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation [Paper]
(CIKM 2022) A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention [Paper]
(CIKM 2022) Target Interest Distillation for Multi-Interest Recommendation [Paper]
(WWW 2022) Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation [Paper]
(WWW 2023) Multi-interest Recommendation on Shopping for Others [Paper]
(MM 2023) MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation [Paper]
(RecSys 2023) Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems [Paper]
(RecSys 2023) Co-occurrence Embedding Enhancement for Long-tail Problem in Multi-Interest Recommendation [Paper]
(ICDE 2024) When Multi-Behavior Meets Multi-Interest: Multi-Behavior Sequential Recommendation with Multi-Interest Self-Supervised Learning [Paper]
(WSDM 2024) Attribute Simulation for Item Embedding Enhancement in Multi-Interest Recommendation [Paper]
(KDD 2024) Disentangled Multi-interest Representation Learning for Sequential Recommendation [Paper]
(TOIS 2025) HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation [Paper]

🚩 Click Through-Rate Prediction

(MM 2020) What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation [Paper]
(CIKM 2021) Popularity-Enhanced News Recommendation with Multi-View Interest Representation [Paper]
(ACL 2022) MINER: Multi-Interest Matching Network for News Recommendation [Paper]
(SIGIR 2022) User-Aware Multi-Interest Learning for Candidate Matching in Recommenders [Paper]
(TOIS 2023) Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation [Paper]
(WWW 2024) RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation [Paper]

🚩 Session-Based Recommendation

(AAAI 2022) SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation [Paper]
(TKDD 2023) Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation [Paper]

🚩 Conversation Recommendation

(WWW 2022) Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation [Paper]
(AAAI 2024) FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System [Paper]
(MM 2024) Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation [Paper]
(ACL 2024) HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation [Paper]
(TORS 2024) Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator [Paper]

🚩 Cross-Domain Recommendation

(CIKM 2022) Adaptive Domain Interest Network for Multi-domain Recommendation [Paper]
(ICDE 2022) Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations [Paper]
(SIGIR 2023) M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation [Paper]
(WWW 2023) Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation [Paper]
(AAAI 2023) REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation [Paper]
(TOIS 2023) Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation [Paper]

Methodology: Multi-Interest Extractor + Aggregator [Back to Top]

🚩 Dynamic Routing + Representation Aggregation

(CIKM 2019) Multi-interest network with dynamic routing for recommendation at Tmall [Paper]
(TOIS 2021) Multi-interest Diversification for End-to-end Sequential Recommendation [Paper]
(SIGIR 2023) M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation [Paper]

🚩 Dynamic Routing + Recommendation Aggregation

(KDD 2020) Controllable Multi-Interest Framework for Recommendation [Paper]
(ACL 2022) MINER: Multi-Interest Matching Network for News Recommendation [Paper]
(SIGIR 2022) User-Aware Multi-Interest Learning for Candidate Matching in Recommenders [Paper]
(SIGIR 2022) When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation [Paper]
(RecSys 2023) Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems [Paper]
(KDD 2024) Disentangled Multi-interest Representation Learning for Sequential Recommendation [Paper]

🚩 Soft Attention + Representation Aggregation

(CIKM 2021) Popularity-Enhanced News Recommendation with Multi-View Interest Representation [Paper]
(CIKM 2022) A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention [Paper]
(SIGIR 2023) M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation [Paper]
(AAAI 2023) REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation [Paper]

🚩 Soft Attention + Recommendation Aggregation

(KDD 2020) Controllable Multi-Interest Framework for Recommendation [Paper]
(SIGIR 2022) Improving Micro-video Recommendation via Contrastive Multiple Interests [Paper]
(ACL 2022) MINER: Multi-Interest Matching Network for News Recommendation [Paper]
(CIKM 2022) Target Interest Distillation for Multi-Interest Recommendation [Paper]
(TKDD 2023) Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation [Paper]

Aspects of Multi-Interest Modeling [Back to Top]

🚩 Implicit Modeling

(CIKM 2020) Deep Multi-Interest Network for Click-through Rate Prediction [Paper]
(KDD 2020) Controllable Multi-Interest Framework for Recommendation [Paper]
(SIGIR 2020) MRIF: Multi-resolution Interest Fusion for Recommendation [Paper]
(CIKM 2022) Target Interest Distillation for Multi-Interest Recommendation [Paper]
(SIGIR 2022) Improving Micro-video Recommendation via Contrastive Multiple Interests [Paper]
(KDD 2024) Disentangled Multi-interest Representation Learning for Sequential Recommendation [Paper]

Explicit Modeling

Item Oriented

🚩 Review

(AAAI 2024) FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System [Paper]
(MM 2024) Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation [Paper]
(ACL 2024) HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation [Paper]

🚩 Modality

(SIGIR 2023) Towards Multi-Interest Pre-training with Sparse Capsule Network [Paper]
(MM 2023) MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation [Paper]
(ACL 2024) HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation [Paper]
(TOIS 2025) HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation [Paper]

🚩 Domain

(CIKM 2022) Adaptive Domain Interest Network for Multi-domain Recommendation [Paper]
(SIGIR 2023) M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation [Paper]
(WWW 2023) Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation [Paper]
(AAAI 2023) REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation [Paper]
(SIGIR 2023) Towards Multi-Interest Pre-training with Sparse Capsule Network [Paper]
(TOIS 2025) HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation [Paper]

🚩 Attributes

(CIKM 2021) Popularity-Enhanced News Recommendation with Multi-View Interest Representation [Paper]
(AAAI 2024) FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System [Paper]
(EMNLP 2024) Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation [Paper]

User Oriented

🚩 Spatial

(AAAI 2022) SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation [Paper]

🚩 Temporal

(MM 2020) What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation [Paper]
(AAAI 2022) SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation [Paper]
(TKDE 2023) Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning [Paper]

🚩 Behavior

(TOIS 2023) Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation [Paper]
(ICDE 2024) When Multi-Behavior Meets Multi-Interest: Multi-Behavior Sequential Recommendation with Multi-Interest Self-Supervised Learning [Paper]

🚩 Social Group

(MM 2020) What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation [Paper]
(AAAI 2022) SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation [Paper]

Research Papers Sorted by Published Year

⏳ Research Papers Sorted by Published Year

Year 2025 [Back to Top]

(TOIS 2025) HORAE: Temporal Multi-Interest Pre-training for Sequential Recommendation [Paper]
(TPAMI 2025) Prompt-based multi-interest learning method for sequential recommendation [Paper]
(AAAI 2025) Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation [Paper]
(AAAI 2025) Auto Encoding Neural Process for Multi-interest Recommendation [Paper]

Year 2024 [Back to Top]

(KDD 2024) Disentangled Multi-interest Representation Learning for Sequential Recommendation [Paper]
(ICDE 2024) When Multi-Behavior Meets Multi-Interest: Multi-Behavior Sequential Recommendation with Multi-Interest Self-Supervised Learning [Paper]
(WSDM 2024) Attribute Simulation for Item Embedding Enhancement in Multi-Interest Recommendation [Paper]
(MM 2024) Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation [Paper]
(WWW 2024) Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness [Paper]
(WWW 2024) RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation [Paper]
(TORS 2024) Multi-Interest Multi-Round Conversational Recommendation System with Fuzzy Feedback Based User Simulator [Paper]
(TNNLS 2024) Enhancing Session-Based Recommendation With Multi-Interest Hyperbolic Representation Networks [Paper]
(EMNLP 2024) Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation [Paper]
(ICME 2024) Orthogonal Hyper-category Guided Multi-interest Elicitation for Micro-video Matching [Paper]
(NeurIPS 2024) Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval [Paper]
(AAAI 2024) Multi-Domain Recommendation to Attract Users via Domain Preference Modeling [Paper]
(AAAI 2024) FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System [Paper]
(ACL 2024) HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation [Paper]

Year 2023 [Back to Top]

(TOIS 2023) Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation [Paper]
(TOIS 2023) Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation [Paper]
(ICDE 2023) Incremental Learning for Multi-Interest Sequential Recommendation [Paper]
(WWW 2023) Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation [Paper]
(WWW 2023) Multi-interest Recommendation on Shopping for Others [Paper]
(WWW 2023) Dual-interest Factorization-heads Atention for Sequential Recommendation [Paper]
(AAAI 2023) REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation [Paper]
(TKDD 2023) Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation [Paper]
(TKDE 2023) Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning [Paper]
(RecSys 2023) Co-occurrence Embedding Enhancement for Long-tail Problem in Multi-Interest Recommendation [Paper]
(RecSys 2023) Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems [Paper]
(KDD 2023) M5: Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation [Paper]
(SIGIR 2023) M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation [Paper]
(SIGIR 2023) Towards Multi-Interest Pre-training with Sparse Capsule Network [Paper]
(SIGIR 2023) Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation [Paper]
(MM 2023) MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation [Paper]
(WSDM 2023) IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation [Paper]
(WSDM 2023) Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network [Paper]
(CIKM 2023) Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation [Paper]

Year 2022 [Back to Top]

(CIKM 2022) Target Interest Distillation for Multi-Interest Recommendation [Paper]
(WWW 2022) Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation [Paper]
(WWW 2022) Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation [Paper]
(WWW 2022) Disentangling Long and Short-Term Interests for Recommendation [Paper]
(SIGIR 2022) When Multi-Level Meets Multi-Interest: A Multi-Grained Neural Model for Sequential Recommendation [Paper]
(SIGIR 2022) Improving Micro-video Recommendation via Contrastive Multiple Interests [Paper]
(SIGIR 2022) User-Aware Multi-Interest Learning for Candidate Matching in Recommenders [Paper]
(ACL 2022) MINER: Multi-Interest Matching Network for News Recommendation [Paper]
(CIKM 2022) Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates [Paper]
(CIKM 2022) Adaptive Domain Interest Network for Multi-domain Recommendation [Paper]
(CIKM 2022) A Multi-Interest Evolution Story: Applying Psychology in Query-based Recommendation for Inferring Customer Intention [Paper]
(ICDE 2022) Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations [Paper]
(PKDD 2022) Multi-interest Extraction Joint with Contrastive Learning for News Recommendation [Paper]
(AAAI 2022) SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation [Paper]
(AAAI 2022) Multi-View Intent Disentangle Graph Networks for Bundle Recommendation [Paper]
(IJCAI 2022) Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences [Paper]
(TKDD 2022) Graph Neural News Recommendation with User Existing and Potential Interest Modeling [Paper]
(ICDE 2022) MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction [Paper]

Year 2021 [Back to Top]

(TOIS 2021) Multi-interest Diversification for End-to-end Sequential Recommendation [Paper]
(WSDM 2021) Diverse User Preference Elicitation with Multi-Armed Bandits [Paper]
(WSDM 2021) Sparse-Interest Network for Sequential Recommendation [Paper]
(CIKM 2021) Popularity-Enhanced News Recommendation with Multi-View Interest Representation [Paper]
(ACL 2021) HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation [Paper]
(WWW 2021) Reinforcement Recommendation with User Multi-aspect Preference [Paper]
(PKDD 2021) Modeling Multi-factor and Multi-faceted Preferences over Sequential Networks for Next Item Recommendation [Paper]

Year 2020 & Before [Back to Top]

(KDD 2020) Controllable Multi-Interest Framework for Recommendation [Paper]
(CIKM 2020) Deep Multi-Interest Network for Click-through Rate Prediction [Paper]
(SIGIR 2020) MRIF: Multi-resolution Interest Fusion for Recommendation [Paper]
(MM 2020) What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation [Paper]
(CIKM 2019) Multi-interest network with dynamic routing for recommendation at Tmall [Paper]

Citation

@article{li2025multi,
  title={Multi-Interest Recommendation: A Survey},
  author={Li, Zihao and Chen, Qiang and Zou, Lixin and Sun, Aixin and Li, Chenliang},
  journal={arXiv preprint arXiv:2506.15284},
  year={2025}
}

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