On the public citation graph

Improving Implicit Recommender Systems with Auxiliary Data

https://doi.org/10.1145/3372338
0 signed · 79 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1016/j.knosys.2014.09.013openalex-snapshot
Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks
inferredcites →https://doi.org/10.1109/icde.2019.00140openalex-snapshot
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/10.1109/tkde.2018.2789445openalex-snapshot
Scalable Content-Aware Collaborative Filtering for Location Recommendation
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1721654.1721677openalex-snapshot
Collaborative filtering with temporal dynamics
inferredcites →https://doi.org/10.1145/2009916.2010002openalex-snapshot
Fast context-aware recommendations with factorization machines
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/10.1145/2365952.2365972openalex-snapshot
Alternating least squares for personalized ranking
inferredcites →https://doi.org/10.1145/2566486.2567970openalex-snapshot
Local collaborative ranking
inferredcites →https://doi.org/10.1145/2600428.2609493openalex-snapshot
Group latent factor model for recommendation with multiple user behaviors
inferredcites →https://doi.org/10.1145/2600428.2609558openalex-snapshot
Predicting the popularity of web 2.0 items based on user comments
inferredcites →https://doi.org/10.1145/2645710.2645759openalex-snapshot
Using graded implicit feedback for bayesian personalized ranking
inferredcites →https://doi.org/10.1145/2766462.2767716openalex-snapshot
Effective Latent Models for Binary Feedback in Recommender Systems
inferredcites →https://doi.org/10.1145/2783258.2783346openalex-snapshot
Dynamic Matrix Factorization with Priors on Unknown Values
inferredcites →https://doi.org/10.1145/2806416.2806511openalex-snapshot
Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation
inferredcites →https://doi.org/10.1145/2806416.2806564openalex-snapshot
Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest 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/10.1145/3038912.3052694openalex-snapshot
A Generic Coordinate Descent Framework for Learning from Implicit Feedback
inferredcites →https://doi.org/10.1145/3077136.3080769openalex-snapshot
Multi-site User Behavior Modeling and Its Application in Video Recommendation
inferredcites →https://doi.org/10.1145/3077136.3080777openalex-snapshot
Neural Factorization Machines for Sparse Predictive Analytics
inferredcites →https://doi.org/10.1145/3077136.3080820openalex-snapshot
What Are You Known For?
inferredcites →https://doi.org/10.1145/3108148openalex-snapshot
Local Representative-Based Matrix Factorization for Cold-Start Recommendation
inferredcites →https://doi.org/10.1145/3159652.3159710openalex-snapshot
A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce
inferredcites →https://doi.org/10.1145/3178876.3186066openalex-snapshot
TEM
inferredcites →https://doi.org/10.1145/3182166openalex-snapshot
GeoMF++
inferredcites →https://doi.org/10.1145/3209978.3210104openalex-snapshot
Entire Space Multi-Task Model
inferredcites →https://doi.org/10.1145/3219819.3220014openalex-snapshot
Learning from History and Present
inferredcites →https://doi.org/10.1145/3231933openalex-snapshot
Personalized Context-Aware Point of Interest Recommendation
inferredcites →https://doi.org/10.1145/3240323.3240369openalex-snapshot
Item recommendation on monotonic behavior chains
inferredcites →https://doi.org/10.1145/3243652openalex-snapshot
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1145/3291756openalex-snapshot
Top-N Recommendation with Multi-Channel Positive Feedback using Factorization Machines
inferredcites →https://doi.org/10.1145/3292500.3330701openalex-snapshot
Optuna
inferredcites →https://doi.org/10.1145/3295499openalex-snapshot
Spatiotemporal Representation Learning for Translation-Based POI Recommendation
inferredcites →https://doi.org/10.1145/3298988openalex-snapshot
A Context-Aware User-Item Representation Learning for Item Recommendation
inferredcites →https://doi.org/10.1145/3314578openalex-snapshot
Deep Item-based Collaborative Filtering for Top-N Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331192openalex-snapshot
An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331295openalex-snapshot
Item Recommendation by Combining Relative and Absolute Feedback Data
inferredcites →https://doi.org/10.1145/3357384.3358058openalex-snapshot
Improving Ad Click Prediction by Considering Non-displayed Events
inferredcites →https://doi.org/10.1609/aaai.v28i1.8713openalex-snapshot
Recommendation by Mining Multiple User Behaviors with Group Sparsity
inferredcites →https://doi.org/10.24963/ijcai.2018/464openalex-snapshot
Improving Implicit Recommender Systems with View Data
inferredcites →https://doi.org/10.24963/ijcai.2018/474openalex-snapshot
Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2018/549openalex-snapshot
A Brand-level Ranking System with the Customized Attention-GRU Model
inferredcites →https://doi.org/10.24963/ijcai.2019/309openalex-snapshot
Reinforced Negative Sampling for Recommendation with Exposure Data
inferredcites →https://doi.org/10.24963/ijcai.2019/619openalex-snapshot
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-96-6034-6_10openalex-snapshot
Addressing Cold Start Challenges in Recommender Systems Using Generative Adversarial Networks with Auxiliary Information
inferred← citeshttps://doi.org/10.1007/s10115-023-01906-6openalex-snapshot
Recommender Systems in Cybersecurity
inferred← citeshttps://doi.org/10.1007/s41060-022-00380-7openalex-snapshot
TPEDTR: temporal preference embedding-based deep tourism recommendation with card transaction data
inferred← citeshttps://doi.org/10.1007/s42486-021-00086-yopenalex-snapshot
Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets
inferred← citeshttps://doi.org/10.1007/s42979-025-04643-5openalex-snapshot
RecCLIP: A Multimodal User-Oriented Recommender System for Generated Content
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117591openalex-snapshot
Fast weighted CP decomposition for context-aware recommendation with explicit and implicit feedback
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118156openalex-snapshot
DSER: Deep-Sequential Embedding for single domain Recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120855openalex-snapshot
Personalized recommendation with hybrid feedback by refining implicit data
inferred← citeshttps://doi.org/10.1016/j.ins.2023.01.101openalex-snapshot
MbSRS: A multi-behavior streaming recommender system
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103790openalex-snapshot
Simplices-based higher-order enhancement graph neural network for multi-behavior recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104447openalex-snapshot
Hierarchical graph contrastive learning with diffusion-enhanced for multi-behavior recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106228openalex-snapshot
Adaptive and efficient high-order rating distance optimization model with slack variable
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109999openalex-snapshot
SCF: Structured collaborative filtering with heterogeneous implicit feedback
inferred← citeshttps://doi.org/10.1016/j.omega.2025.103475openalex-snapshot
Towards popularity-aware recommendation: A multi-behavior enhanced framework with orthogonality constraint
inferred← citeshttps://doi.org/10.1109/access.2024.3462750openalex-snapshot
A Systematic Review of the Impact of Auxiliary Information on Recommender Systems
inferred← citeshttps://doi.org/10.1109/access.2025.3583425openalex-snapshot
AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation
inferred← citeshttps://doi.org/10.1109/cloud49709.2020.00084openalex-snapshot
Robustness Analysis of Triangle Relations Attack in Social Recommender Systems
inferred← citeshttps://doi.org/10.1145/3402521openalex-snapshot
A Survey on Heterogeneous One-class Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3463913openalex-snapshot
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation
inferred← citeshttps://doi.org/10.1145/3483611openalex-snapshot
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation
inferred← citeshttps://doi.org/10.1145/3490476openalex-snapshot
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach
inferred← citeshttps://doi.org/10.1145/3545796openalex-snapshot
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms
inferred← citeshttps://doi.org/10.1145/3567420openalex-snapshot
Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks
inferred← citeshttps://doi.org/10.1145/3592853openalex-snapshot
Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation
inferred← citeshttps://doi.org/10.1145/3611385openalex-snapshot
SLED: Structure Learning based Denoising for Recommendation
inferred← citeshttps://doi.org/10.1145/3617826openalex-snapshot
Alleviating Video-length Effect for Micro-video Recommendation
inferred← citeshttps://doi.org/10.1145/3746252.3761201openalex-snapshot
EEG-FSL: An EEG-Based Few-Shot Learning Framework for Music Recommendation
inferred← citeshttps://doi.org/10.14569/ijacsa.2025.0160610openalex-snapshot
Impact of Auxiliary Information in Generative Artificial Intelligence Models for Cross-Domain Recommender Systems
inferred← citeshttps://doi.org/10.26599/bdma.2025.9020060openalex-snapshot
HOSVD++: A Tensor-Based High Order SVD++ Recommendation System
inferred← citeshttps://doi.org/10.3390/app112412119openalex-snapshot
Enhanced Collaborative Filtering for Personalized E-Government Recommendation
inferred← citeshttps://doi.org/10.3390/electronics11060878openalex-snapshot
A Survey of One Class E-Commerce Recommendation System Techniques
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.