On the public citation graph

Enhancing Recommendation with Search Data in a Causal Learning Manner

https://doi.org/10.1145/3582425
0 signed · 59 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-0-387-85820-3_1openalex-snapshot
Introduction to Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-642-35341-3_25openalex-snapshot
Unified Recommendation and Search in E-Commerce
inferredcites →https://doi.org/10.1016/j.jeconom.2006.06.002openalex-snapshot
Instrumental variable estimation of nonseparable models
inferredcites →https://doi.org/10.1017/cbo9780511803161openalex-snapshot
Causality
inferredcites →https://doi.org/10.1017/s0266466604205011openalex-snapshot
INSTRUMENTAL VARIABLE ESTIMATION OF A THRESHOLD MODEL
inferredcites →https://doi.org/10.1093/comjnl/bxq039openalex-snapshot
Search Engines: Information Retrieval in Practice
inferredcites →https://doi.org/10.1108/07363760010309528openalex-snapshot
Product search in e‐shopping: a review and research propositions
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2022.3218994openalex-snapshot
Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation
inferredcites →https://doi.org/10.1109/wisa.2012.33openalex-snapshot
Product Recommendation Based on Search Keywords
inferredcites →https://doi.org/10.1145/2018396.2018423openalex-snapshot
Information seeking
inferredcites →https://doi.org/10.1145/2630420openalex-snapshot
Browse-to-Search
inferredcites →https://doi.org/10.1145/2738035openalex-snapshot
Selective Search
inferredcites →https://doi.org/10.1145/3209978.3210181openalex-snapshot
Deep Learning for Matching in Search and Recommendation
inferredcites →https://doi.org/10.1145/3219819.3219823openalex-snapshot
Deep Interest Network for Click-Through Rate Prediction
inferredcites →https://doi.org/10.1145/3240323.3240360openalex-snapshot
Causal embeddings for recommendation
inferredcites →https://doi.org/10.1145/3289600.3291017openalex-snapshot
Estimating Position Bias without Intrusive Interventions
inferredcites →https://doi.org/10.1145/3314578openalex-snapshot
Deep Item-based Collaborative Filtering for Top-N Recommendation
inferredcites →https://doi.org/10.1145/3336191.3371818openalex-snapshot
Learning a Joint Search and Recommendation Model from User-Item Interactions
inferredcites →https://doi.org/10.1145/3340531.3412752openalex-snapshot
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval
inferredcites →https://doi.org/10.1145/3343117openalex-snapshot
Joint Neural Collaborative Filtering for Recommender Systems
inferredcites →https://doi.org/10.1145/3404835.3462855openalex-snapshot
Counterfactual Data-Augmented Sequential Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462875openalex-snapshot
Causal Intervention for Leveraging Popularity Bias in Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462892openalex-snapshot
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback
inferredcites →https://doi.org/10.1145/3404835.3462908openalex-snapshot
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462962openalex-snapshot
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
inferredcites →https://doi.org/10.1145/3426723openalex-snapshot
Deep Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3442381.3449788openalex-snapshot
Disentangling User Interest and Conformity for Recommendation with Causal Embedding
inferredcites →https://doi.org/10.1145/3442381.3449904openalex-snapshot
Debiasing Career Recommendations with Neural Fair Collaborative Filtering
inferredcites →https://doi.org/10.1145/3442381.3450015openalex-snapshot
Learning Fair Representations for Recommendation: A Graph-based Perspective
inferredcites →https://doi.org/10.1145/3459637.3482305openalex-snapshot
Top-N Recommendation with Counterfactual User Preference Simulation
inferredcites →https://doi.org/10.1145/3459637.3482489openalex-snapshot
USER
inferredcites →https://doi.org/10.1145/3460231.3474263openalex-snapshot
Mitigating Confounding Bias in Recommendation via Information Bottleneck
inferredcites →https://doi.org/10.1145/3485447.3511951openalex-snapshot
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data
inferredcites →https://doi.org/10.1145/3494568openalex-snapshot
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition
inferredcites →https://doi.org/10.1145/3534678.3539393openalex-snapshot
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification
inferredcites →https://doi.org/10.1214/009053607000000505openalex-snapshot
Measuring and testing dependence by correlation of distances
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301346openalex-snapshot
Session-Based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.18653/v1/2021.naacl-mainopenalex-snapshot
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
inferredcites →https://doi.org/10.18653/v1/p19-1openalex-snapshot
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
inferredcites →https://doi.org/10.2307/j.ctvcm4j72openalex-snapshot
Mostly Harmless Econometrics
inferredcites →https://doi.org/10.3982/ecta9626openalex-snapshot
Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain

What points at this work

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

inferred← citeshttps://doi.org/10.1002/widm.70024openalex-snapshot
Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124667openalex-snapshot
Dynamic Hierarchical Attention Network for news recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104364openalex-snapshot
Causal inference for alleviating confounding bias in multi-criteria rating recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114345openalex-snapshot
Multi-Cause Deconfounding for Recommender Systems with Latent Confounders
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107977openalex-snapshot
Learning instrumental variable representation for debiasing in recommender systems
inferred← citeshttps://doi.org/10.1109/access.2023.3347444openalex-snapshot
Retracted: A Study on the Video-making Features and Dissemination Efficiency of Short Videos Based on a Causal Transformer
inferred← citeshttps://doi.org/10.1109/aiotc71250.2026.11689633openalex-snapshot
A High-Precision Retrieval Method for Multimodal Data Based on Autoregressive Pre-Training
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651506openalex-snapshot
Cross-Aggregation Based Information Re-Enhancement for Recommendation
inferred← citeshttps://doi.org/10.1145/3539618.3591709openalex-snapshot
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach
inferred← citeshttps://doi.org/10.1145/3539618.3591786openalex-snapshot
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation
inferred← citeshttps://doi.org/10.1145/3583780.3615123openalex-snapshot
KuaiSAR: A Unified Search And Recommendation Dataset
inferred← citeshttps://doi.org/10.1145/3626772.3657732openalex-snapshot
To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
inferred← citeshttps://doi.org/10.1145/3626772.3657811openalex-snapshot
UniSAR: Modeling User Transition Behaviors between Search and Recommendation
inferred← citeshttps://doi.org/10.1145/3745023openalex-snapshot
Causal Variational Inference for Deconfounded Multi-Behavior Recommendation
inferred← citeshttps://doi.org/10.1145/3757737openalex-snapshot
Causal Inference for Multi-Criteria Rating Recommender Systems
inferred← citeshttps://doi.org/10.1145/3758092openalex-snapshot
Uncovering Recommendation Serendipity with Objective Data-driven Factor Investigation
inferred← citeshttps://doi.org/10.1145/3840748openalex-snapshot
A Survey of Causal Learning in Graph-Based Recommender 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.