Cover Image

Contextual Distillation Model for Diversified Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Fan, Si, Xu, Tang, Shisong, Wang, Dingmin, Han, Kunyan, Han, Bing, Zhou, Guorui, Song, Yang, Chen, Hechang
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tree of Preferences for Diversified Recommendation
by: Yuan, Hanyang, et al.
Published: (2025)

PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations
by: Guo, Chengcheng, et al.
Published: (2026)

Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
by: Yan, Mingshi, et al.
Published: (2024)

SMES: Towards Scalable Multi-Task Recommendation via Expert Sparsity
by: Zhang, Yukun, et al.
Published: (2026)

Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
by: Zhang, Zhiyang, et al.
Published: (2026)

Knowledge Graph Context-Enhanced Diversified Recommendation
by: Liu, Xiaolong, et al.
Published: (2023)

GEMs: Breaking the Long-Sequence Barrier in Generative Recommendation with a Multi-Stream Decoder
by: Zhou, Yu, et al.
Published: (2026)

How to Diversify any Personalized Recommender?
by: Slokom, Manel, et al.
Published: (2024)

On Practical Diversified Recommendation with Controllable Category Diversity Framework
by: Zhang, Tao, et al.
Published: (2024)

Heterogeneous Multi-treatment Uplift Modeling for Trade-off Optimization in Short-Video Recommendation
by: Zhai, Chenhao, et al.
Published: (2025)

RecFlow: An Industrial Full Flow Recommendation Dataset
by: Liu, Qi, et al.
Published: (2024)

MTFM: A Scalable and Alignment-free Foundation Model for Industrial Recommendation in Meituan
by: Song, Xin, et al.
Published: (2026)

PDSR: A Privacy-Preserving Diversified Service Recommendation Method on Distributed Data
by: Wang, Lina, et al.
Published: (2024)

Federated Adaptation for Foundation Model-based Recommendations
by: Zhang, Chunxu, et al.
Published: (2024)

Dual-disentangle Framework for Diversified Sequential Recommendation
by: Zhang, Haoran, et al.
Published: (2025)

A Unified Framework for Cross-Domain Recommendation
by: Cao, Jiangxia, et al.
Published: (2024)

HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment
by: Li, Guorui, et al.
Published: (2026)

CaDRec: Contextualized and Debiased Recommender Model
by: Wang, Xinfeng, et al.
Published: (2024)

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach
by: Zhang, Chunxu, et al.
Published: (2024)

Moment&Cross: Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou
by: Cao, Jiangxia, et al.
Published: (2024)

DIET: Learning to Distill Dataset Continually for Recommender Systems
by: Zhang, Jiaqing, et al.
Published: (2026)

Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
by: Wang, Yuyan, et al.
Published: (2024)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model
by: Cui, Yu, et al.
Published: (2024)

Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation
by: An, Guojia, et al.
Published: (2025)

OneLive: Dynamically Unified Generative Framework for Live-Streaming Recommendation
by: Wang, Shen, et al.
Published: (2026)

Look into the Future: Deep Contextualized Sequential Recommendation
by: Zheng, Lei, et al.
Published: (2024)

End-to-end training of Multimodal Model and ranking Model
by: Deng, Xiuqi, et al.
Published: (2024)

Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data
by: Zhao, Yuhan, et al.
Published: (2024)

LLM-Alignment Live-Streaming Recommendation
by: Liu, Yueyang, et al.
Published: (2025)

Multimodal Recommendation via Self-Corrective Preference Alignmen
by: Guan, Yalong, et al.
Published: (2025)

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation
by: Zhang, Chi, et al.
Published: (2024)

Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-based Reranking
by: Li, Chuang, et al.
Published: (2025)

Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
by: He, Zhiyu, et al.
Published: (2025)

TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction
by: Yang, Zhejian, et al.
Published: (2026)

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions
by: Xu, Wujiang, et al.
Published: (2023)

MMGRec: Multimodal Generative Recommendation with Transformer Model
by: Liu, Han, et al.
Published: (2024)

Selection and Exploitation of High-Quality Knowledge from Large Language Models for Recommendation
by: Wang, Guanchen, et al.
Published: (2025)

Foresight Prediction Enhanced Live-Streaming Recommendation
by: Cao, Jiangxia, et al.
Published: (2025)

Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems
by: Zhang, Shengyu, et al.
Published: (2024)

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models
by: Wu, Jiongran, et al.
Published: (2025)