On the public citation graph

FASTER: A Dynamic Fairness-assurance Strategy for Session-based Recommender Systems

https://doi.org/10.1145/3586993
0 signed · 57 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-3-030-65310-1_21openalex-snapshot
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint
inferredcites →https://doi.org/10.1016/j.ipm.2020.102387openalex-snapshot
Connecting user and item perspectives in popularity debiasing for collaborative recommendation
inferredcites →https://doi.org/10.1016/j.jmp.2010.08.009openalex-snapshot
The form of the forgetting curve and the fate of memories
inferredcites →https://doi.org/10.1016/s0079-7421(08)60464-8openalex-snapshot
Repetition and Memory
inferredcites →https://doi.org/10.1073/pnas.1217220110openalex-snapshot
Biased assimilation, homophily, and the dynamics of polarization
inferredcites →https://doi.org/10.1109/mc.2007.289openalex-snapshot
Search Engines that Learn from Implicit Feedback
inferredcites →https://doi.org/10.1109/mic.2003.1167344openalex-snapshot
Amazon.com recommendations: item-to-item collaborative filtering
inferredcites →https://doi.org/10.1145/1229179.1229181openalex-snapshot
Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2702123.2702520openalex-snapshot
Unequal Representation and Gender Stereotypes in Image Search Results for Occupations
inferredcites →https://doi.org/10.1145/3038912.3052660openalex-snapshot
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
inferredcites →https://doi.org/10.1145/3077136.3080695openalex-snapshot
Predicting Session Length in Media Streaming
inferredcites →https://doi.org/10.1145/3132847openalex-snapshot
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
inferredcites →https://doi.org/10.1145/3132847.3132926openalex-snapshot
Neural Attentive Session-based Recommendation
inferredcites →https://doi.org/10.1145/3209978.3210063openalex-snapshot
Equity of Attention
inferredcites →https://doi.org/10.1145/3213586.3226206openalex-snapshot
Using Image Fairness Representations in Diversity-Based Re-ranking for Recommendations
inferredcites →https://doi.org/10.1145/3219819.3219950openalex-snapshot
STAMP
inferredcites →https://doi.org/10.1145/3289600.3291002openalex-snapshot
Fighting Fire with Fire
inferredcites →https://doi.org/10.1145/3292500.3330691openalex-snapshot
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search
inferredcites →https://doi.org/10.1145/3292500.3330745openalex-snapshot
Fairness in Recommendation Ranking through Pairwise Comparisons
inferredcites →https://doi.org/10.1145/3299869openalex-snapshot
Proceedings of the 2019 International Conference on Management of Data
inferredcites →https://doi.org/10.1145/3340631.3394846openalex-snapshot
Opportunistic Multi-aspect Fairness through Personalized Re-ranking
inferredcites →https://doi.org/10.1145/3357384.3358010openalex-snapshot
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3366423.3380196openalex-snapshot
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms
inferredcites →https://doi.org/10.1145/3366423.3380255openalex-snapshot
Correcting for Selection Bias in Learning-to-rank Systems
inferredcites →https://doi.org/10.1145/3394486.3403352openalex-snapshot
Multi-objective Optimization for Guaranteed Delivery in Video Service Platform
inferredcites →https://doi.org/10.1145/3397271.3401100openalex-snapshot
Controlling Fairness and Bias in Dynamic Learning-to-Rank
inferredcites →https://doi.org/10.1145/3397271.3401142openalex-snapshot
Global Context Enhanced Graph Neural Networks for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401219openalex-snapshot
Predicting Session Length for Product Search on E-commerce Platform
inferredcites →https://doi.org/10.1145/3437963openalex-snapshot
Proceedings of the 14th ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/3437963.3441824openalex-snapshot
Towards Long-term Fairness in Recommendation
inferredcites →https://doi.org/10.1145/3442381openalex-snapshot
Proceedings of the Web Conference 2021
inferredcites →https://doi.org/10.1145/3447548.3467289openalex-snapshot
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
inferredcites →https://doi.org/10.1145/3459637.3482388openalex-snapshot
Self-Supervised Graph Co-Training for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3465401openalex-snapshot
A Survey on Session-based Recommender Systems
inferredcites →https://doi.org/10.1145/3477495.3531935openalex-snapshot
An Attribute-Driven Mirror Graph Network for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3488560.3498505openalex-snapshot
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
inferredcites →https://doi.org/10.1145/3495163openalex-snapshot
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings
inferredcites →https://doi.org/10.1145/3547333openalex-snapshot
A Survey on the Fairness of Recommender Systems
inferredcites →https://doi.org/10.1145/3564284openalex-snapshot
Bias and Debias in Recommender System: A Survey and Future Directions
inferredcites →https://doi.org/10.1177/002224295902300301openalex-snapshot
The Remembering and Forgetting of Advertising
inferredcites →https://doi.org/10.1177/002224377401100402openalex-snapshot
The Use of Field Experimental Observations in Estimating Advertising Recall
inferredcites →https://doi.org/10.1371/journal.pone.0120644openalex-snapshot
Replication and Analysis of Ebbinghaus’ Forgetting Curve
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301346openalex-snapshot
Session-Based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.24963/ijcai.2019/600openalex-snapshot
Feature-level Deeper Self-Attention Network for Sequential Recommendation
inferredcites →https://doi.org/10.48550/arxiv.1809.02921openalex-snapshot
Personalizing Fairness-aware Re-ranking

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s13042-024-02149-9openalex-snapshot
Towards platform profit-aware fairness in personalized recommendation
inferred← citeshttps://doi.org/10.1007/s40747-025-02091-5openalex-snapshot
HRL-MOEA: a hybrid reinforcement learning-enhanced multi-objective recommendation algorithm with dynamic policy orchestration
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112387openalex-snapshot
Improving user-oriented fairness in recommendation via data augmentation: Don’t worry about inactive users
inferred← citeshttps://doi.org/10.1016/j.measurement.2026.121344openalex-snapshot
Fairness-Aware Group Recommendation with Spatio-Temporal Feature Fusion
inferred← citeshttps://doi.org/10.1016/j.tbench.2023.100137openalex-snapshot
Algorithmic fairness in social context
inferred← citeshttps://doi.org/10.1145/3610302openalex-snapshot
Fairness in Recommendation: Foundations, Methods, and Applications
inferred← citeshttps://doi.org/10.1145/3649142openalex-snapshot
Fairness-Aware Graph Neural Networks: A Survey
inferred← citeshttps://doi.org/10.1145/3652583.3658052openalex-snapshot
Improving Interpretable Embeddings for Ad-hoc Video Search with Generative Captions and Multi-word Concept Bank
inferred← citeshttps://doi.org/10.1145/3690653openalex-snapshot
Dynamic Fairness-aware Recommendation Through Multi-agent Social Choice
inferred← citeshttps://doi.org/10.1145/3736404openalex-snapshot
Mitigating Propensity Bias of Large Language Models for Recommender Systems
inferred← citeshttps://doi.org/10.5753/sbbd.2026.249225openalex-snapshot
LIFE: Lifetime-Aware Fair Exposure for Time-Limited Items in Recommendation Systems
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.