Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yuyan, Banerjee, Cheenar, Chucri, Samer, Soldo, Fabio, Badam, Sriraj, Chi, Ed H., Chen, Minmin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Knowledge Graph Context-Enhanced Diversified Recommendation
by: Liu, Xiaolong, et al.
Published: (2023)
by: Liu, Xiaolong, et al.
Published: (2023)
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
by: Wang, Jianling, et al.
Published: (2024)
by: Wang, Jianling, et al.
Published: (2024)
Temporal Linear Item-Item Model for Sequential Recommendation
by: Park, Seongmin, et al.
Published: (2024)
by: Park, Seongmin, et al.
Published: (2024)
Bootstrapping Conditional Retrieval for User-to-Item Recommendations
by: Lin, Hongtao, et al.
Published: (2025)
by: Lin, Hongtao, et al.
Published: (2025)
Listwise Preference Alignment Optimization for Tail Item Recommendation
by: Li, Zihao, et al.
Published: (2025)
by: Li, Zihao, et al.
Published: (2025)
Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems
by: Jiang, Runhao, et al.
Published: (2026)
by: Jiang, Runhao, et al.
Published: (2026)
Unified Representation Learning for Multi-Intent Diversity and Behavioral Uncertainty in Recommender Systems
by: Xu, Wei, et al.
Published: (2025)
by: Xu, Wei, et al.
Published: (2025)
Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning
by: Luo, Chaoguang, et al.
Published: (2024)
by: Luo, Chaoguang, et al.
Published: (2024)
Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
by: Zhang, Jiaming, et al.
Published: (2026)
by: Zhang, Jiaming, et al.
Published: (2026)
Enhancing Item Tokenization for Generative Recommendation through Self-Improvement
by: Chen, Runjin, et al.
Published: (2024)
by: Chen, Runjin, et al.
Published: (2024)
Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
by: Liang, Shunpan, et al.
Published: (2024)
by: Liang, Shunpan, et al.
Published: (2024)
FELRec: Efficient Handling of Item Cold-Start With Dynamic Representation Learning in Recommender Systems
by: Weimann, Kuba, et al.
Published: (2022)
by: Weimann, Kuba, et al.
Published: (2022)
Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations
by: Wang, Yuyan, et al.
Published: (2025)
by: Wang, Yuyan, et al.
Published: (2025)
RAGSys: Item-Cold-Start Recommender as RAG System
by: Contal, Emile, et al.
Published: (2024)
by: Contal, Emile, et al.
Published: (2024)
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs
by: Mezentsev, Gleb, et al.
Published: (2024)
by: Mezentsev, Gleb, et al.
Published: (2024)
ContextGNN: Beyond Two-Tower Recommendation Systems
by: Yuan, Yiwen, et al.
Published: (2024)
by: Yuan, Yiwen, et al.
Published: (2024)
Offline Reasoning for Efficient Recommendation: LLM-Empowered Persona-Profiled Item Indexing
by: Kim, Deogyong, et al.
Published: (2026)
by: Kim, Deogyong, et al.
Published: (2026)
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation
by: Shtoff, Alex, et al.
Published: (2024)
by: Shtoff, Alex, et al.
Published: (2024)
Learning to Collaborate via Structures: Cluster-Guided Item Alignment for Federated Recommendation
by: Tu, Yuchun, et al.
Published: (2026)
by: Tu, Yuchun, et al.
Published: (2026)
Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation
by: Yang, Zhe, et al.
Published: (2024)
by: Yang, Zhe, et al.
Published: (2024)
General Item Representation Learning for Cold-start Content Recommendations
by: Kim, Jooeun, et al.
Published: (2024)
by: Kim, Jooeun, et al.
Published: (2024)
Item Cluster-aware Prompt Learning for Session-based Recommendation
by: Yang, Wooseong, et al.
Published: (2024)
by: Yang, Wooseong, et al.
Published: (2024)
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
by: Hou, Yupeng, et al.
Published: (2025)
by: Hou, Yupeng, et al.
Published: (2025)
Recommending Composite Items Using Multi-Level Preference Information: A Joint Interaction Modeling Approach
by: Bi, Xuan, et al.
Published: (2026)
by: Bi, Xuan, et al.
Published: (2026)
Multi-Item-Query Attention for Stable Sequential Recommendation
by: Xu, Mingshi, et al.
Published: (2025)
by: Xu, Mingshi, et al.
Published: (2025)
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
by: Singh, Anima, et al.
Published: (2023)
by: Singh, Anima, et al.
Published: (2023)
Tweedie Regression for Video Recommendation System
by: Zheng, Yan, et al.
Published: (2025)
by: Zheng, Yan, et al.
Published: (2025)
Position-Aware Sequential Attention for Accurate Next Item Recommendations
by: Nabiev, Timur, et al.
Published: (2026)
by: Nabiev, Timur, et al.
Published: (2026)
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction
by: Fischer, Elisabeth, et al.
Published: (2024)
by: Fischer, Elisabeth, et al.
Published: (2024)
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning
by: Oh, Sejoon, et al.
Published: (2024)
by: Oh, Sejoon, et al.
Published: (2024)
Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation
by: Choi, Yijin, et al.
Published: (2025)
by: Choi, Yijin, et al.
Published: (2025)
Long-Term Value of Exploration: Measurements, Findings and Algorithms
by: Su, Yi, et al.
Published: (2023)
by: Su, Yi, et al.
Published: (2023)
Contextual Font Recommendations based on User Intent
by: Sharma, Sanat, et al.
Published: (2023)
by: Sharma, Sanat, et al.
Published: (2023)
ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation)
by: Ariza-Casabona, Alejandro, et al.
Published: (2025)
by: Ariza-Casabona, Alejandro, et al.
Published: (2025)
Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems
by: Liu, Langming, et al.
Published: (2025)
by: Liu, Langming, et al.
Published: (2025)
Algorithm Adaptation Bias in Recommendation System Online Experiments
by: Zheng, Chen, et al.
Published: (2025)
by: Zheng, Chen, et al.
Published: (2025)
Continual Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2025)
by: Yoo, Hyunsik, et al.
Published: (2025)
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
by: Coleman, Benjamin, et al.
Published: (2023)
by: Coleman, Benjamin, et al.
Published: (2023)
PolyRecommender: A Multimodal Recommendation System for Polymer Discovery
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data
by: Zarch, Hossein Entezari, et al.
Published: (2024)
by: Zarch, Hossein Entezari, et al.
Published: (2024)
Similar Items
-
Knowledge Graph Context-Enhanced Diversified Recommendation
by: Liu, Xiaolong, et al.
Published: (2023) -
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
by: Wang, Jianling, et al.
Published: (2024) -
Temporal Linear Item-Item Model for Sequential Recommendation
by: Park, Seongmin, et al.
Published: (2024) -
Bootstrapping Conditional Retrieval for User-to-Item Recommendations
by: Lin, Hongtao, et al.
Published: (2025) -
Listwise Preference Alignment Optimization for Tail Item Recommendation
by: Li, Zihao, et al.
Published: (2025)