Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints
Fuente:
arXiv
Saved in:
| Main Authors: | Sinha, Yash, Mandal, Murari, Kankanhalli, Mohan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VK-LSVD: A Large-Scale Industrial Dataset for Short-Video Recommendation
by: Poslavsky, Aleksandr, et al.
Published: (2026)
by: Poslavsky, Aleksandr, et al.
Published: (2026)
Beyond Seeing Is Believing: On Crowdsourced Detection of Audiovisual Deepfakes
by: Soprano, Michael, et al.
Published: (2026)
by: Soprano, Michael, et al.
Published: (2026)
Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy
by: Stoecker, Theodor, et al.
Published: (2025)
by: Stoecker, Theodor, et al.
Published: (2025)
I$^3$-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation
by: Chen, Huilin, et al.
Published: (2025)
by: Chen, Huilin, et al.
Published: (2025)
Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations
by: Rivas, Pablo, et al.
Published: (2024)
by: Rivas, Pablo, et al.
Published: (2024)
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning
by: Guo, Jiaxin, et al.
Published: (2025)
by: Guo, Jiaxin, et al.
Published: (2025)
A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets
by: Saragadam, Harish, et al.
Published: (2025)
by: Saragadam, Harish, et al.
Published: (2025)
Tensor Manifold-Based Graph-Vector Fusion for AI-Native Academic Literature Retrieval
by: Wei, Xing, et al.
Published: (2026)
by: Wei, Xing, et al.
Published: (2026)
Modeling Stage-wise Evolution of User Interests for News Recommendation
by: Cheng, Zhiyong, et al.
Published: (2026)
by: Cheng, Zhiyong, et al.
Published: (2026)
Mathematical Information Retrieval: Search and Question Answering
by: Zanibbi, Richard, et al.
Published: (2024)
by: Zanibbi, Richard, et al.
Published: (2024)
Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations
by: Chen, Zerui, et al.
Published: (2026)
by: Chen, Zerui, et al.
Published: (2026)
Evaluating Keyframe Layouts for Visual Known-Item Search in Homogeneous Collections
by: Jäckl, Bastian, et al.
Published: (2025)
by: Jäckl, Bastian, et al.
Published: (2025)
IdeaForge: A Knowledge Graph-Grounded Multi-Agent Framework for Cross-Methodology Innovation Analysis and Patent Claim Generation
by: Bose, Joy
Published: (2026)
by: Bose, Joy
Published: (2026)
FastPFRec: A Fast Personalized Federated Recommendation with Secure Sharing
by: Yan, Zhenxing, et al.
Published: (2026)
by: Yan, Zhenxing, et al.
Published: (2026)
An Audio-centric Multi-task Learning Framework for Streaming Ads Targeting on Spotify
by: Verma, Shivam, et al.
Published: (2025)
by: Verma, Shivam, et al.
Published: (2025)
LENS: A Staged Design for Interaction Granularityin Sequential CTR Prediction
by: Wang, Yuan, et al.
Published: (2026)
by: Wang, Yuan, et al.
Published: (2026)
Retrieval Augmented Classification for Confidential Documents
by: Chang, Yeseul E., et al.
Published: (2026)
by: Chang, Yeseul E., et al.
Published: (2026)
Deterministic Fuzzy Triage for Legal Compliance Classification and Evidence Retrieval
by: Atri, Rian
Published: (2026)
by: Atri, Rian
Published: (2026)
CogRec: A Cognitive Recommender Agent Fusing Large Language Models and Soar for Explainable Recommendation
by: Hu, Jiaxin, et al.
Published: (2025)
by: Hu, Jiaxin, et al.
Published: (2025)
CORGI: Efficient Pattern Matching With Quadratic Guarantees
by: Weitekamp, Daniel
Published: (2025)
by: Weitekamp, Daniel
Published: (2025)
What Matters in LLM-Based Feature Extractor for Recommender? A Systematic Analysis of Prompts, Models, and Adaptation
by: Shi, Kainan, et al.
Published: (2025)
by: Shi, Kainan, et al.
Published: (2025)
ALIGNS: Unlocking nomological networks in psychological measurement through a large language model
by: Larsen, Kai R., et al.
Published: (2025)
by: Larsen, Kai R., et al.
Published: (2025)
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems
by: Luo, Qinyi, et al.
Published: (2024)
by: Luo, Qinyi, et al.
Published: (2024)
UniRec: A Dual Enhancement of Uniformity and Frequency in Sequential Recommendations
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
GTR-Mamba: Geometry-to-Tangent Routing Mamba for Hyperbolic POI Recommendation
by: Li, Zhuoxuan, et al.
Published: (2025)
by: Li, Zhuoxuan, et al.
Published: (2025)
FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models
by: Yuan, Bithiah
Published: (2025)
by: Yuan, Bithiah
Published: (2025)
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems
by: Belal, Yacine, et al.
Published: (2023)
by: Belal, Yacine, et al.
Published: (2023)
SERP Interference Network and Its Applications in Search Advertising
by: Jain, Purak, et al.
Published: (2025)
by: Jain, Purak, et al.
Published: (2025)
PRISM: LLM-Guided Semantic Clustering for High-Precision Topics
by: Douglas, Connor, et al.
Published: (2026)
by: Douglas, Connor, et al.
Published: (2026)
Experimentation Accelerator: Interpretable Insights and Creative Recommendations for A/B Testing with Content-Aware ranking
by: Hu, Zhengmian, et al.
Published: (2026)
by: Hu, Zhengmian, et al.
Published: (2026)
IMDMR: An Intelligent Multi-Dimensional Memory Retrieval System for Enhanced Conversational AI
by: Pawar, Tejas, et al.
Published: (2025)
by: Pawar, Tejas, et al.
Published: (2025)
Listen to the Unexpected: Self-Supervised Surprise Detection for Efficient Viewport Prediction
by: Khah, Arman Nik, et al.
Published: (2026)
by: Khah, Arman Nik, et al.
Published: (2026)
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods
by: Cheng, Zhengxing, et al.
Published: (2024)
by: Cheng, Zhengxing, et al.
Published: (2024)
Who Shares What? An Empirical Analysis of Security Conference Content Across Academia and Industry
by: Walter, Lukas, et al.
Published: (2024)
by: Walter, Lukas, et al.
Published: (2024)
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
by: Purificato, Antonio, et al.
Published: (2023)
by: Purificato, Antonio, et al.
Published: (2023)
DALL-M: Context-Aware Clinical Data Augmentation with LLMs
by: Hsieh, Chihcheng, et al.
Published: (2024)
by: Hsieh, Chihcheng, et al.
Published: (2024)
Semantic Reconstruction of Adversarial Plagiarism: A Context-Aware Framework for Detecting and Restoring "Tortured Phrases" in Scientific Literature
by: Maiti, Agniva, et al.
Published: (2025)
by: Maiti, Agniva, et al.
Published: (2025)
ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms
by: Ruan, Qin, et al.
Published: (2024)
by: Ruan, Qin, et al.
Published: (2024)
LLM Reasoning for Cold-Start Item Recommendation
by: Li, Shijun, et al.
Published: (2025)
by: Li, Shijun, et al.
Published: (2025)
Mind the Gap: A Generalized Approach for Cross-Modal Embedding Alignment
by: Yadav, Arihan, et al.
Published: (2024)
by: Yadav, Arihan, et al.
Published: (2024)
Similar Items
-
VK-LSVD: A Large-Scale Industrial Dataset for Short-Video Recommendation
by: Poslavsky, Aleksandr, et al.
Published: (2026) -
Beyond Seeing Is Believing: On Crowdsourced Detection of Audiovisual Deepfakes
by: Soprano, Michael, et al.
Published: (2026) -
Bias Mitigation for AI-Feedback Loops in Recommender Systems: A Systematic Literature Review and Taxonomy
by: Stoecker, Theodor, et al.
Published: (2025) -
I$^3$-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation
by: Chen, Huilin, et al.
Published: (2025) -
Bottleneck-based Encoder-decoder ARchitecture (BEAR) for Learning Unbiased Consumer-to-Consumer Image Representations
by: Rivas, Pablo, et al.
Published: (2024)