Cover Image

Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zhongjin, Liang, Yu, Fu, Cong, Zhu, Yuxuan, Wang, Kun, Ni, Yabo, Zeng, Anxiang, Xia, Jiazhi
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
by: Liang, Yu, et al.
Published: (2026)

ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation
by: Yang, Kun, et al.
Published: (2026)

Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search
by: Chen, Tingyang, et al.
Published: (2025)

Residual Multi-Task Learner for Applied Ranking
by: Fu, Cong, et al.
Published: (2024)

Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views
by: Chen, Tingyang, et al.
Published: (2025)

Lightweight Embeddings for Graph Collaborative Filtering
by: Liang, Xurong, et al.
Published: (2024)

Understanding Embedding Scaling in Collaborative Filtering
by: He, Yicheng, et al.
Published: (2025)

ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
by: Shenbin, Ilya, et al.
Published: (2024)

Lightweight Embeddings with Graph Rewiring for Collaborative Filtering
by: Liang, Xurong, et al.
Published: (2025)

Diversity-Augmented Negative Sampling for Implicit Collaborative Filtering
by: Xuan, Yueqing, et al.
Published: (2025)

Self-supervised Contrastive Learning for Implicit Collaborative Filtering
by: Song, Shipeng, et al.
Published: (2024)

Unifying Graph Convolution and Contrastive Learning in Collaborative Filtering
by: Wu, Yihong, et al.
Published: (2024)

ASPIRE: Make Spectral Graph Collaborative Filtering Great Again via Adaptive Filter Learning
by: He, Yunhang, et al.
Published: (2026)

OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System
by: Dai, Sunhao, et al.
Published: (2025)

Dual-Tree LLM-Enhanced Negative Sampling for Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026)

Deep Rating Elicitation for New Users in Collaborative Filtering
by: Kweon, Wonbin, et al.
Published: (2024)

Beyond Instance-Level Alignment and Uniformity: Semantic Factor Learning for Collaborative Filtering
by: Yu, Yajie, et al.
Published: (2026)

Representation Quantization for Collaborative Filtering Augmentation
by: Luo, Yunze, et al.
Published: (2025)

Graph Neural Controlled Differential Equations For Collaborative Filtering
by: Xu, Ke, et al.
Published: (2025)

FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens
by: Wang, Chao, et al.
Published: (2025)

A Topology-Aware Positive Sample Set Construction and Feature Optimization Method in Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026)

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering
by: Chen, Huiyuan, et al.
Published: (2023)

CF4J: Collaborative Filtering for Java
by: Ortega, Fernando, et al.
Published: (2024)

A Simple yet Effective Negative Sampling Plugin for Constructing Positive Sample Pairs in Implicit Collaborative Filtering
by: Wu, Jiayi, et al.
Published: (2026)

Neural Causal Graph Collaborative Filtering
by: Wang, Xiangmeng, et al.
Published: (2023)

Disentangled Contrastive Collaborative Filtering
by: Ren, Xubin, et al.
Published: (2023)

Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information
by: He, Yunhang, et al.
Published: (2025)

Vectorized Context-Aware Embeddings for GAT-Based Collaborative Filtering
by: Ebrat, Danial, et al.
Published: (2025)

Collaborative Filtering Through Weighted Similarities of User and Item Embeddings
by: Pires, Pedro R., et al.
Published: (2026)

GraphTransfer: A Generic Feature Fusion Framework for Collaborative Filtering
by: Xia, Jiafeng, et al.
Published: (2024)

MIMNet: Multi-Interest Meta Network with Multi-Granularity Target-Guided Attention for Cross-domain Recommendation
by: Zhu, Xiaofei, et al.
Published: (2024)

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain
by: Xia, Rui, et al.
Published: (2024)

Dual-Perspective Disentangled Multi-Intent Alignment for Enhanced Collaborative Filtering
by: Zhang, Shanfan, et al.
Published: (2025)

Multi-Agent Collaborative Filtering: Orchestrating Users and Items for Agentic Recommendations
by: Xia, Yu, et al.
Published: (2025)

Flow Matching for Collaborative Filtering
by: Liu, Chengkai, et al.
Published: (2025)

Synergizing Implicit and Explicit User Interests: A Multi-Embedding Retrieval Framework at Pinterest
by: Fan, Zhibo, et al.
Published: (2025)

MixRec: Heterogeneous Graph Collaborative Filtering
by: Xia, Lianghao, et al.
Published: (2024)

Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
by: Sun, Peijie, et al.
Published: (2024)

Can We Predict the Next Question? A Collaborative Filtering Approach to Modeling User Behavior
by: Fu, Bokang, et al.
Published: (2025)

Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering
by: Zhang, Yu, et al.
Published: (2025)