Cross-Domain Interest Representation Learning for Scenario- and Task-Aware Recommendation
sigir26-021 · Full research paper · Bokai Lin, Naijun Gao, Yucen Gao, Heng Chang, Cheng Hu, Zhinan Zhang, Xiaofeng Gao
Multi-Domain and Multi-Market Recomm · 50% Domain Adaptation and Disentangled R · 50%
Abstract
Many internet companies operate multiple flagship applications, each of which can be regarded as a distinct business domain, covering areas such as video, reading, and gaming. Within each domain, diverse recommendation scenarios coexist, and users engage in various tasks with heterogeneous behaviors. In our industrial setting, we observe three key phenomena that existing methods rarely address: (i) users' Cross-Domain Interests (CDI) are weakly exploited, since behavior sequences are often pooled for efficiency, losing transferable cross-domain dependencies; (ii) multi-domain, scenario, and task variations are under-modeled, making it difficult to capture fine-grained complementarities; and (iii) multimodal features remain misaligned with ID features, especially when different domains emphasize different modalities. These gaps hinder cross-product collaboration.
Assigned reviewers
| # | Reviewer | Match | Why (closest evidence publications in the taxonomy) | |
|---|---|---|---|---|
| 1 | Jiangxia Cao | 69 | 86 Towards Universal Cross-Domain Recommendation (2023) Multi-Domain and Multi-Market Recommendation 86 DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation (2022) Domain Adaptation and Disentangled Representation for CDR 86 Disentangled Representations Learning for Multi-target Cross-domain Recommendation (2023) Domain Adaptation and Disentangled Representation for CDR |
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| 2 | Hao Liu 0078 | 68 | 100 MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation (2024) Domain Adaptation and Disentangled Representation for CDR 86 DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation (2024) Domain Adaptation and Disentangled Representation for CDR 55 WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging (2026) Efficiency and Deployment |
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| 3 | Yong He 0009 | 62 | 86 The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective (2024) Domain Adaptation and Disentangled Representation for CDR 86 Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System (2023) Domain Adaptation and Disentangled Representation for CDR 86 Learning to Select Instance: Simultaneous Transfer Learning and Clustering (2021) Domain Adaptation and Disentangled Representation for CDR |
Area chair
| Area chair | Match | |
|---|---|---|
| Leyu Lin | 60 |
Area-chair candidates (7)
| Leyu Lin assigned | 60 | 15 papers | |
| Weiming Liu 0005 | 58 | 8 papers | |
| Yanan Niu | 48 | 15 papers | |
| Kun Gai | 45 | 5 papers | |
| Pengyue Jia | 44 | 10 papers | |
| Xin Xin 0003 COI: co-author | 44 | 10 papers | |
| Xiaoyi Zeng | 43 | 11 papers |
Candidates from the panel ranked by match score
| # | Reviewer | Match | Load | Why | |
|---|---|---|---|---|---|
| 1 | Jiangxia Cao assigned | 69 | 3 | 86 Towards Universal Cross-Domain Recommendation (2023) Multi-Domain and Multi-Market Recommendation 86 DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation (2022) Domain Adaptation and Disentangled Representation for CDR |
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| 2 | Hao Liu 0078 assigned | 68 | 3 | 100 MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation (2024) Domain Adaptation and Disentangled Representation for CDR 86 DA-DAN: A Dual Adversarial Domain Adaption Network for Unsupervised Non-overlapping Cross-domain Recommendation (2024) Domain Adaptation and Disentangled Representation for CDR |
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| 3 | Yong He 0009 assigned | 62 | 3 | 86 The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective (2024) Domain Adaptation and Disentangled Representation for CDR 86 Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System (2023) Domain Adaptation and Disentangled Representation for CDR |
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| 6 | Ke Wang 0038 | 52 | 3 | 72 Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation (2024) Contrastive and Self-Supervised Sequential Recommendation 59 Enhancing Cross-Domain Recommendation with Plug-In Contrastive Representations from Large Language Models (2025) Sequential and Session-based Recommendation |
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| 7 | Qiang Luo 0004 | 51 | 3 | 86 FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation (2026) Domain Adaptation and Disentangled Representation for CDR 52 One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction (2021) CTR and Conversion Rate Prediction |
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| 8 | Junwei Pan COI: co-author | 51 | 3 | 100 Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation (2025) Domain Adaptation and Disentangled Representation for CDR 86 Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning (2024) Multi-Domain and Multi-Market Recommendation |
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| 9 | Ke Fei | 51 | 3 | 66 Sharpness-Consistent Cross-Domain Recommendation for Cold-Start Items (2026) Item Tokenization and Semantic IDs 57 Stable and Adaptive Fusion for Multi-domain Multi-task Recommendation (2026) Multi-Scenario and Multi-Domain CTR Prediction |
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| 10 | Chunyang Wang 0001 | 50 | 3 | 75 Multifaceted Relation-aware Meta-learning with Dual Customization for User Cold-start Recommendation (2023) Domain Adaptation and Disentangled Representation for CDR 74 Disentangled Contrastive Learning for Cross-Domain Recommendation (2023) Domain Adaptation and Disentangled Representation for CDR |
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| 11 | Jinxin Hu | 49 | 3 | 62 Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation (2022) Multi-Scenario and Multi-Domain CTR Prediction 62 Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context (2024) Multi-Scenario and Multi-Domain CTR Prediction |
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| 12 | Lantao Hu | 48 | 3 | 86 Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation (2024) Multi-Domain and Multi-Market Recommendation 49 Comprehensive List Generation for Multi-Generator Reranking (2025) Recommendation with Search and Ranking |
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| 15 | Yupeng Hou | 45 | 3 | 58 Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders (2023) Item Tokenization and Semantic IDs 56 Towards Universal Sequence Representation Learning for Recommender Systems (2022) Text Embedding and Representation Learning |
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| 16 | Yang Song 0008 | 45 | 3 | 68 Mixed Attention Network for Cross-domain Sequential Recommendation (2024) Cross-Domain and Cross-Market Sequential Recommendation 49 When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation (2023) Search and Recommendation Integration |
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| 17 | Riwei Lai | 45 | 3 | 68 Proxy-enhanced cross-domain sequential recommendation (2025) Cross-Domain and Cross-Market Sequential Recommendation 63 Proxy-Aware Cross-Domain Sequential Recommendation (2023) Cross-Domain Sequential Recommendation |
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| 18 | Lichan Hong | 45 | 3 | 57 Enhancing Online Ranking Systems via Multi-Surface Co-Training for Content Understanding (2025) Content-Based Transferable Recommendation 53 Co-optimize Content Generation and Consumption in a Large Scale Video Recommendation System (2024) Multi-Task and Multi-Objective Optimization |
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| 19 | Yongxin Ni | 45 | 3 | 58 Multi-Modality is All You Need for Transferable Recommender Systems (2024) Multimodal Generative Recommendation 54 An Image Dataset for Benchmarking Recommender Systems with Raw Pixels (2024) Recommendation Systems and Evaluation |
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| 20 | Bo Chen 0023 | 45 | 3 | 62 PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations (2023) Multi-Scenario and Multi-Domain CTR Prediction 46 How Can Recommender Systems Benefit from Large Language Models: A Survey (2025) Efficiency and Deployment |
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| 21 | Seongmin Park 0002 | 44 | 3 | 72 MergeRec: Model Merging for Data-Isolated Cross-Domain Sequential Recommendation (2026) Cross-Domain and Cross-Market Sequential Recommendation 44 uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering (2023) Popularity Bias and Debiasing in Recommendation |
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| 22 | Ed H. Chi | 44 | 3 | 62 Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval (2020) Search and Recommendation Integration 53 Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation (2023) Content and Attribute-Based Cold-Start Recommendation |
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| 23 | Chen Wang 0052 | 44 | 3 | 72 Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation (2024) Cross-Domain and Cross-Market Sequential Recommendation 49 Confidence-Aware Fine-Tuning of Sequential Recommendation Systems Via Conformal Prediction (2025) Contrastive and Self-Supervised Sequential Recommendation |
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| 25 | Fei Sun 0001 | 44 | 3 | 49 Personalized re-ranking for recommendation (2019) Recommendation with Search and Ranking 49 Contrastive Learning for Sequential Recommendation (2022) Contrastive and Self-Supervised Sequential Recommendation |
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| 26 | Min Hou 0004 | 44 | 3 | 57 GoRec: A Generative Cold-start Recommendation Framework (2023) Content-Based Transferable Recommendation 53 WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging (2026) Efficiency and Deployment |
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| 27 | Bowen Zheng 0005 | 44 | 3 | 46 Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems (2023) Recommendation Systems and Evaluation 45 Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation (2025) Sequential and Session-based Recommendation |
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| 28 | Shuchang Liu 0001 | 44 | 3 | 57 M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework (2024) Multi-Scenario and Multi-Domain CTR Prediction 49 Comprehensive List Generation for Multi-Generator Reranking (2025) Recommendation with Search and Ranking |
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| 29 | Junjie Zhang 0009 | 44 | 3 | 76 Curriculum-scheduled knowledge distillation from multiple pre-trained teachers for multi-domain sequential recommendation (2025) Cross-Domain and Cross-Market Sequential Recommendation 57 A Pre-trained Plug-in Mixture-of-LoRAs Model for Transferable Sequential Recommendation (2025) Language Model Pre-training and Adaptation |
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| 31 | Wei Guo 0006 | 44 | 3 | 46 Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation (2023) Graph Contrastive and Self-Supervised Learning 46 User Behavior Modeling with Deep Learning for Recommendation: Recent Advances (2023) Recommendation Systems and Evaluation |
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| 32 | Jieming Zhu | 43 | 3 | 47 Directional Adversarial Training for Recommender Systems (2020) Robustness to Noise and Distribution Shift 46 EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration (2025) Generative Recommendation and Item Tokenization |
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| 33 | Jianling Wang | 43 | 3 | 53 Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation (2023) Content and Attribute-Based Cold-Start Recommendation 49 Learning to Augment for Casual User Recommendation (2022) Contrastive and Self-Supervised Sequential Recommendation |
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| 34 | Yimeng Bai | 43 | 3 | 53 GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting (2024) Multi-Task and Multi-Objective Optimization 46 LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting (2024) Recommendation Systems and Evaluation |
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| 36 | Zhengyi Yang 0007 | 43 | 3 | 48 A Generic Learning Framework for Sequential Recommendation with Distribution Shifts (2023) Contrastive and Self-Supervised Sequential Recommendation 46 LLaRA: Large Language-Recommendation Assistant (2024) Sequential and Session-based Recommendation |
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| 37 | Xinhang Li 0001 | 43 | 3 | 86 Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation (2022) Domain Adaptation and Disentangled Representation for CDR 76 Optimal Transport Enhanced Cross-City Site Recommendation (2024) Cross-Domain and Cross-Market Sequential Recommendation |