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Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation

https://doi.org/10.1609/aaai.v34i01.5329

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_1openalex-snapshot

Introduction to Recommender Systems Handbook

inferredcites →https://doi.org/10.1007/978-3-030-03520-4_11openalex-snapshot

Missing Data Modeling with User Activity and Item Popularity in Recommendation

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BPRH: Bayesian personalized ranking for heterogeneous implicit feedback

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Neural Multi-task Recommendation from Multi-behavior Data

inferredcites →https://doi.org/10.1109/icdm.2008.16openalex-snapshot

One-Class Collaborative Filtering

inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot

Collaborative Filtering for Implicit Feedback Datasets

inferredcites →https://doi.org/10.1145/1401890.1401969openalex-snapshot

Relational learning via collective matrix factorization

inferredcites →https://doi.org/10.1145/1864708.1864726openalex-snapshot

Fast als-based matrix factorization for explicit and implicit feedback datasets

inferredcites →https://doi.org/10.1145/2124295.2124317openalex-snapshot

Multi-relational matrix factorization using bayesian personalized ranking for social network data

inferredcites →https://doi.org/10.1145/2736277.2741656openalex-snapshot

Improving User Topic Interest Profiles by Behavior Factorization

inferredcites →https://doi.org/10.1145/2872427.2883090openalex-snapshot

Modeling User Exposure in Recommendation

inferredcites →https://doi.org/10.1145/2911451.2911489openalex-snapshot

Fast Matrix Factorization for Online Recommendation with Implicit Feedback

inferredcites →https://doi.org/10.1145/2939672.2939690openalex-snapshot

An Empirical Study on Recommendation with Multiple Types of Feedback

inferredcites →https://doi.org/10.1145/2959100.2959163openalex-snapshot

Bayesian Personalized Ranking with Multi-Channel User Feedback

inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot

Neural Collaborative Filtering

inferredcites →https://doi.org/10.1145/3178876.3186070openalex-snapshot

Neural Attentional Rating Regression with Review-level Explanations

inferredcites →https://doi.org/10.1145/3219819.3219826openalex-snapshot

Learning Tree-based Deep Model for Recommender Systems

inferredcites →https://doi.org/10.1145/3331184.3331192openalex-snapshot

An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation

inferredcites →https://doi.org/10.18653/v1/p18-1172openalex-snapshot

Batch IS NOT Heavy: Learning Word Representations From All Samples

inferredcites →https://doi.org/10.21236/ada486804openalex-snapshot

Relational Learning via Collective Matrix Factorization

inferredcites →https://doi.org/10.24963/ijcai.2018/464openalex-snapshot

Improving Implicit Recommender Systems with View Data

inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot

BPR: Bayesian Personalized Ranking from Implicit Feedback

inferredcites →https://doi.org/10.57702/2vwfx36ropenalex-snapshot

The movielens datasets: History and context

inferredcites →https://doi.org/10.7551/mitpress/7503.003.0010openalex-snapshot

Multi-Task Feature Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation

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Multi-Relational Contrastive Learning for Recommendation

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Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation

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Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation

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Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation

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Behavior Pattern Mining-based Multi-Behavior Recommendation

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Multi-Behavior Generative Recommendation

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DIFN: A Dual Intention-aware Network for Repurchase Recommendation with Hierarchical Spatio-temporal Fusion

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Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model

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CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation

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Knowledge-Enhanced Multi-Behaviour Contrastive Learning for Effective Recommendation

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ANAGL: A Noise-Resistant and Anti-Sparse Graph Learning for Micro-Video Recommendation

inferred← citeshttps://doi.org/10.1145/3698192openalex-snapshot

Contrastive Clustering Learning for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1145/3701551.3703532openalex-snapshot

DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1145/3701551.3703591openalex-snapshot

MixRec: Heterogeneous Graph Collaborative Filtering

inferred← citeshttps://doi.org/10.1145/3705328.3748073openalex-snapshot

Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1145/3711666openalex-snapshot

Pone-GNN: Integrating Positive and Negative Feedback in Graph Neural Networks for Recommender Systems

inferred← citeshttps://doi.org/10.1145/3728465openalex-snapshot

User Invariant Preference Learning for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1145/3742793openalex-snapshot

Modeling Multi-Seasonal Multi-Behavior Dependency for Temporal Recommendation

inferred← citeshttps://doi.org/10.1145/3745023openalex-snapshot

Causal Variational Inference for Deconfounded Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1145/3746252.3761286openalex-snapshot

A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.1145/3757737openalex-snapshot

Causal Inference for Multi-Criteria Rating Recommender Systems

inferred← citeshttps://doi.org/10.1145/3788878openalex-snapshot

Dynamic Dependency-Aware Collaborative Contrastive Learning for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1145/3793855openalex-snapshot

Negative Sampling in Recommendation: A Survey and Future Directions

inferred← citeshttps://doi.org/10.1145/3805622.3810603openalex-snapshot

Target-Enhanced Gated Transformer: A Multi-Behavior Recommendation Framework for Noise Suppression and Target Signal Preservation

inferred← citeshttps://doi.org/10.1145/3805712.3809672openalex-snapshot

Incremental Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1145/3817124.3817174openalex-snapshot

Multi- View Graph Contrastive Learning Recommendation Algorithm Integrating Multi-Behaviors

inferred← citeshttps://doi.org/10.1145/3844611openalex-snapshot

Target Behavior Supervised for Cascading Contrastive Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1155/2024/4169402openalex-snapshot

A Recommendation Approach Based on Heterogeneous Network and Dynamic Knowledge Graph

inferred← citeshttps://doi.org/10.1287/isre.2023.0181openalex-snapshot

Probing Digital Footprints and Reaching for Inherent Preferences: A Cause-Disentanglement Approach to Personalized Recommendations

inferred← citeshttps://doi.org/10.1609/aaai.v35i5.16515openalex-snapshot

Graph Heterogeneous Multi-Relational Recommendation

inferred← citeshttps://doi.org/10.1609/aaai.v35i5.16576openalex-snapshot

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.1609/aaai.v37i4.25537openalex-snapshot

Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation

inferred← citeshttps://doi.org/10.1609/icwsm.v18i1.31379openalex-snapshot

How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering?

inferred← citeshttps://doi.org/10.21203/rs.3.rs-1907331/v1openalex-snapshot

Research on the improvement method of social recommendation model based on efficient non-sampling

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3144279/v1openalex-snapshot

TKMBR: Temporal Knowledge Graph-based Multi-Behavior Recommendation for E-commerce

inferred← citeshttps://doi.org/10.2139/ssrn.5138296openalex-snapshot

Kan-Infused Social Recommendation: A Contrastive Graph Learning Approach with Bidirectional Feature Fusion

inferred← citeshttps://doi.org/10.2139/ssrn.5272953openalex-snapshot

Informative Tensor Factorization with Scalable Gnn Kernel for Multi-Behavior Recommendation

inferred← citeshttps://doi.org/10.2139/ssrn.5782208openalex-snapshot

NSSF:Noise-Suppressed Safe-Fusion for Multi-Behavior recommendation

inferred← citeshttps://doi.org/10.24963/ijcai.2021/606openalex-snapshot

Recent Advances in Heterogeneous Relation Learning for Recommendation

inferred← citeshttps://doi.org/10.24963/ijcai.2022/285openalex-snapshot

Self-supervised Graph Neural Networks for Multi-behavior Recommendation

inferred← citeshttps://doi.org/10.3390/app13021093openalex-snapshot

Hotspot Information Network and Domain Knowledge Graph Aggregation in Heterogeneous Network for Literature Recommendation

inferred← citeshttps://doi.org/10.3390/electronics12143048openalex-snapshot

A Two-Path Multibehavior Model of User Interaction

inferred← citeshttps://doi.org/10.3390/info14080424openalex-snapshot

Efficient Non-Sampling Graph Neural Networks

inferred← citeshttps://doi.org/10.3390/s21144666openalex-snapshot

Efficient Graph Collaborative Filtering via Contrastive Learning

inferred← citeshttps://doi.org/10.3390/sym12091566openalex-snapshot

Toward Improving the Prediction Accuracy of Product Recommendation System Using Extreme Gradient Boosting and Encoding Approaches

inferred← citeshttps://doi.org/10.48550/arxiv.2101.00781openalex-snapshot

Recommending Accurate and Diverse Items Using Bilateral Branch Network

inferred← citeshttps://doi.org/10.48550/arxiv.2109.11903openalex-snapshot

Multi-behavior Graph Contextual Aware Network for Session-based Recommendation

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