On the public citation graph

Field-aware Factorization Machines for CTR Prediction

0 signed · 722 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1007/978-3-319-18038-0_35openalex-snapshot

A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization

inferredcites →https://doi.org/10.1109/99.660313openalex-snapshot

OpenMP: an industry standard API for shared-memory programming

inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-snapshot

Factorization Machines

inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot

Book Review: Pattern Recognition and Machine Learning

inferredcites →https://doi.org/10.1145/1242572.1242643openalex-snapshot

Predicting clicks

inferredcites →https://doi.org/10.1145/1718487.1718498openalex-snapshot

Pairwise interaction tensor factorization for personalized tag recommendation

inferredcites →https://doi.org/10.1145/2168752.2168771openalex-snapshot

Factorization Machines with libFM

inferredcites →https://doi.org/10.1145/2487575.2488200openalex-snapshot

Ad click prediction

inferredcites →https://doi.org/10.1145/2532128openalex-snapshot

Simple and Scalable Response Prediction for Display Advertising

inferredcites →https://doi.org/10.1198/tech.2007.s518openalex-snapshot

Pattern Recognition and Machine Learning

inferredcites →https://doi.org/10.1214/009053605000000255openalex-snapshot

Boosting with early stopping: Convergence and consistency

inferredcites →https://doi.org/10.3115/1075096.1075100openalex-snapshot

Fast methods for kernel-based text analysis

inferredcites →https://doi.org/10.48550/arxiv.1106.5730openalex-snapshot

HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

inferredcites →https://doi.org/10.48550/arxiv.1306.3574openalex-snapshot

Early stopping and non-parametric regression: An optimal data-dependent stopping rule

inferredcites →https://doi.org/10.5555/1390681.1442794openalex-snapshot

LIBLINEAR: A Library for Large Linear Classification

inferredcites →https://doi.org/10.5555/1756006.1859899openalex-snapshot

Training and Testing Low-degree Polynomial Data Mappings via Linear SVM

inferredcites →https://doi.org/10.5555/1953048.2021068openalex-snapshot

Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

inferredcites →https://doi.org/10.5555/2627435.2627446openalex-snapshot

Early stopping and non-parametric regression

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.3070706openalex-extracted

Online Display Advertising Markets: A Literature Review and Future Directions

inferred← citeshttps://doi.org/10.2139/ssrn.3675644openalex-extracted

inferred← citeshttps://doi.org/10.2139/ssrn.4036054openalex-extracted

inferred← citeshttps://doi.org/10.2139/ssrn.4120323openalex-extracted

inferred← citeshttps://doi.org/10.2139/ssrn.4156882openalex-extracted

Dual Attention Interactive Machine

inferred← citeshttps://doi.org/10.2139/ssrn.4185552openalex-extracted

Application of Tree Based Enhanced Stacking Ensemble Learning

inferred← citeshttps://doi.org/10.2139/ssrn.4546996openalex-extracted

A Matrix Completion Solution to the Problem of Ignoring the Ignorability Assumption in Advertising Measurement

inferred← citeshttps://doi.org/10.2139/ssrn.4651870openalex-extracted

Forecasting Goal-Oriented Activities: A Deep Learning Approach Leveraging Cross-Activity Relationships

inferred← citeshttps://doi.org/10.1002/asi.24025openalex-snapshot

Predictive models and analysis for webpage depth‐level dwell time

inferred← citeshttps://doi.org/10.1007/978-3-030-01012-6_17openalex-snapshot

A Hybrid Neural Network Model with Non-linear Factorization Machines for Collaborative Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-030-03991-2_18openalex-snapshot

Field-Regularised Factorization Machines for Mining the Maintenance Logs of Equipment

inferred← citeshttps://doi.org/10.1007/978-3-030-03991-2_61openalex-snapshot

Link Prediction via Factorization Machines

inferred← citeshttps://doi.org/10.1007/978-3-030-04167-0_13openalex-snapshot

Deep Collaborative Filtering Combined with High-Level Feature Generation on Latent Factor Model

inferred← citeshttps://doi.org/10.1007/978-3-030-16469-0_8openalex-snapshot

Adapting Self-Organizing Map Algorithm to Sparse Data

inferred← citeshttps://doi.org/10.1007/978-3-030-22971-9_3openalex-snapshot

Deep&Cross Network for Software-Intensive System Fault Prediction

inferred← citeshttps://doi.org/10.1007/978-3-030-26075-0_12openalex-snapshot

A Novel Ensemble Approach for Click-Through Rate Prediction Based on Factorization Machines and Gradient Boosting Decision Trees

inferred← citeshttps://doi.org/10.1007/978-3-030-47426-3_12openalex-snapshot

MsFcNET: Multi-scale Feature-Crossing Attention Network for Multi-field Sparse Data

inferred← citeshttps://doi.org/10.1007/978-3-030-49536-7_14openalex-snapshot

Prediction of Wart Treatment Using Deep Learning with Implicit Feature Engineering

inferred← citeshttps://doi.org/10.1007/978-3-030-56725-5_3openalex-snapshot

ResFusion: A Residual Learning Based Fusion Framework for CTR Prediction

inferred← citeshttps://doi.org/10.1007/978-3-030-59410-7_27openalex-snapshot

Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction

inferred← citeshttps://doi.org/10.1007/978-3-030-59413-8_22openalex-snapshot

User Sequential Behavior Classification for Click-Through Rate Prediction

inferred← citeshttps://doi.org/10.1007/978-3-030-59585-2_1openalex-snapshot

HFF: Hybrid Feature Fusion Model for Click-Through Rate Prediction

inferred← citeshttps://doi.org/10.1007/978-3-030-63836-8_36openalex-snapshot

Feature Aware and Bilinear Feature Equal Interaction Network for Click-Through Rate Prediction

inferred← citeshttps://doi.org/10.1007/978-3-030-73200-4_13openalex-snapshot

DFCN: An Effective Feature Interactions Learning Model for Recommender Systems

inferred← citeshttps://doi.org/10.1007/978-3-030-73216-5_10openalex-snapshot

Ad Click-Through Rate Prediction: A Survey

inferred← citeshttps://doi.org/10.1007/978-3-030-75765-6_35openalex-snapshot

XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction

inferred← citeshttps://doi.org/10.1007/978-3-030-75765-6_39openalex-snapshot

W2FM: The Doubly-Warped Factorization Machine

inferred← citeshttps://doi.org/10.1007/978-3-030-85899-5_24openalex-snapshot

Self-residual Embedding for Click-Through Rate Prediction

inferred← citeshttps://doi.org/10.1007/978-3-030-88132-0_4openalex-snapshot

Meta-Learning for Multimedia

inferred← citeshttps://doi.org/10.1007/978-3-030-91431-8_45openalex-snapshot

CSSR: A Context-Aware Sequential Software Service Recommendation Model

inferred← citeshttps://doi.org/10.1007/978-3-030-91560-5_1openalex-snapshot

Efficient Feature Interactions Learning with Gated Attention Transformer

inferred← citeshttps://doi.org/10.1007/978-3-030-91560-5_3openalex-snapshot

Exploiting Intra and Inter-field Feature Interaction with Self-Attentive Network for CTR Prediction

inferred← citeshttps://doi.org/10.1007/978-3-030-92270-2_48openalex-snapshot

Convolutional Feature-Interacted Factorization Machines for Sparse Contextual Prediction

inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_28openalex-snapshot

MCRF: Enhancing CTR Prediction Models via Multi-channel Feature Refinement Framework

inferred← citeshttps://doi.org/10.1007/978-3-031-05981-0_4openalex-snapshot

Input Enhanced Logarithmic Factorization Network for CTR Prediction

inferred← citeshttps://doi.org/10.1007/978-3-031-10986-7_22openalex-snapshot

Deep Neural Factorization Machine for Recommender System

inferred← citeshttps://doi.org/10.1007/978-3-031-15931-2_44openalex-snapshot

Knowledge Graph Bidirectional Interaction Graph Convolutional Network for Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-23473-6_33openalex-snapshot

Personalized User Interface Elements Recommendation System

inferred← citeshttps://doi.org/10.1007/978-3-031-23741-6_9openalex-snapshot

Course Recommendation System Based on SSM Framework

inferred← citeshttps://doi.org/10.1007/978-3-031-24383-7_23openalex-snapshot

Self-gated FM: Revisiting the Weight of Feature Interactions for CTR Prediction

inferred← citeshttps://doi.org/10.1007/978-3-031-30672-3_13openalex-snapshot

Deep User and Item Inter-matching Network for CTR Prediction

inferred← citeshttps://doi.org/10.1007/978-3-031-39821-6_22openalex-snapshot

CF-SAFF: Collaborative Filtering Based on Self-attention Mechanism and Feature Fusion

inferred← citeshttps://doi.org/10.1007/978-3-031-43424-2_26openalex-snapshot

Click-Aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation

inferred← citeshttps://doi.org/10.1007/978-3-031-56063-7_22openalex-snapshot

Learning-to-Rank with Nested Feedback

inferred← citeshttps://doi.org/10.1007/978-3-031-72356-8_4openalex-snapshot

Click-Through Rate Prediction Based on Filtering-Enhanced with Multi-head Attention

inferred← citeshttps://doi.org/10.1007/978-3-031-77681-6_2openalex-snapshot

Incorporating Feature Refinement Enhancement and Cross Network for Click-Through Rate Prediction

inferred← citeshttps://doi.org/10.1007/978-3-031-87766-7_14openalex-snapshot

ExProCO: An Explainable Probabilistic Campaign Optimizer for eCommerce Advertising

inferred← citeshttps://doi.org/10.1007/978-3-031-97352-9_13openalex-snapshot

A Contrastive Learning Method for Ordinary Differential Equation-Based Collaborative Filtering

inferred← citeshttps://doi.org/10.1007/978-3-032-06096-9_26openalex-snapshot

Towards Unifying Feature Interaction Models for Click-Through Rate Prediction

inferred← citeshttps://doi.org/10.1007/978-3-032-37685-5_15openalex-snapshot

VALOR: Value-Aware Revenue Uplift Modeling with Treatment-Gated Representation for B2B Sales

inferred← citeshttps://doi.org/10.1007/978-3-319-55753-3_20openalex-snapshot

An Intelligent Field-Aware Factorization Machine Model

inferred← citeshttps://doi.org/10.1007/978-3-319-89824-7_9openalex-snapshot

Bayesian Factorization Machines for Risk Management and Robust Decision Making

inferred← citeshttps://doi.org/10.1007/978-3-319-97304-3_72openalex-snapshot

Robust Factorization Machines for Credit Default Prediction

inferred← citeshttps://doi.org/10.1007/978-981-15-8101-4_23openalex-snapshot

Malware Classifications Based on Static-Dynamic Features and Factorization Machines

inferred← citeshttps://doi.org/10.1007/978-981-15-8458-9_8openalex-snapshot

Mining Correlation Features of User Financial Behavior Based on Attention Mechanism and Dual Channel

inferred← citeshttps://doi.org/10.1007/978-981-15-8462-6_71openalex-snapshot

Recommendation of Community Correction Measures Based on FFM-FTRL

inferred← citeshttps://doi.org/10.1007/978-981-15-8760-3_6openalex-snapshot

Research on Advertising Click-Through Rate Prediction Model Based on Ensemble Learning

inferred← citeshttps://doi.org/10.1007/978-981-16-1964-9_26openalex-snapshot

Knowledge-Enhanced Collaborative Meta Learner for Long-Tail Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-16-8430-2_64openalex-snapshot

Fusion Structure-based Fault State Prediction of Wind Turbine Spindle

inferred← citeshttps://doi.org/10.1007/978-981-16-8531-6_6openalex-snapshot

HFM++: An Enhanced Holographic Factorization Machine for Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-19-5194-7_3openalex-snapshot

Factorization Machine Based on Bitwise Feature Importance for CTR Prediction

inferred← citeshttps://doi.org/10.1007/978-981-19-5194-7_4openalex-snapshot

Focusing on the Importance of Features for CTR Prediction

inferred← citeshttps://doi.org/10.1007/978-981-19-7904-0_6openalex-snapshot

Debias in Deep Learning Recommender System

inferred← citeshttps://doi.org/10.1007/978-981-92-0288-1_20openalex-snapshot

Automatic Feature Interaction Learning via Attention-Free Neural Networks

inferred← citeshttps://doi.org/10.1007/978-981-92-3492-9_34openalex-snapshot

SETH-DTI: State Evolution Graph Neural Network with Tensorized High-Order Feature Interactions for Drug-Target Interaction Prediction

inferred← citeshttps://doi.org/10.1007/978-981-92-3551-3_8openalex-snapshot

PT-DIMN: A Dynamic Ideation Modeling Network under Personality Traits for Click-Through Rate Prediction

inferred← citeshttps://doi.org/10.1007/978-981-95-5719-6_27openalex-snapshot

Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System

inferred← citeshttps://doi.org/10.1007/978-981-96-6954-7_25openalex-snapshot

Feature Crossing Attention Network with Field-Augmented Relational Tensors for CTR Prediction

inferred← citeshttps://doi.org/10.1007/978-981-97-2387-4_13openalex-snapshot

Enhancing Collaborative Features with Knowledge Graph for Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-97-7710-5_29openalex-snapshot

Enhancing Click-Through Rate Prediction: A Composite Approach Integrating DNN with DCN and FM-NN

inferred← citeshttps://doi.org/10.1007/978-981-99-8070-3_22openalex-snapshot

Learning Item Attributes and User Interests for Knowledge Graph Enhanced Recommendation

inferred← citeshttps://doi.org/10.1007/s00500-022-07149-xopenalex-snapshot

Exploring different interaction among features for CTR prediction

inferred← citeshttps://doi.org/10.1007/s00521-019-04470-9openalex-snapshot

Factorized weight interaction neural networks for sparse feature prediction

inferred← citeshttps://doi.org/10.1007/s00521-023-08349-8openalex-snapshot

A novel interest evolution network based on transformer and a gated residual for CTR prediction in display advertising

inferred← citeshttps://doi.org/10.1007/s00521-024-10296-xopenalex-snapshot

DONN: leveraging heterogeneous outer products for CTR prediction

inferred← citeshttps://doi.org/10.1007/s00530-025-01749-xopenalex-snapshot

Personalized music recommendation algorithm based on machine learning

inferred← citeshttps://doi.org/10.1007/s00530-025-01919-xopenalex-snapshot

Field-enhancing factorization machine for click-through rate prediction

inferred← citeshttps://doi.org/10.1007/s00530-025-01926-yopenalex-snapshot

A combine bit-wise and vector-wise interactive features network for CTR prediction

inferred← citeshttps://doi.org/10.1007/s00778-021-00665-6openalex-snapshot

Formal semantics and high performance in declarative machine learning using Datalog

inferred← citeshttps://doi.org/10.1007/s10115-022-01714-4openalex-snapshot

Graph relation embedding network for click-through rate prediction

inferred← citeshttps://doi.org/10.1007/s10115-023-01867-wopenalex-snapshot

A new interest extraction method based on multi-head attention mechanism for CTR prediction

inferred← citeshttps://doi.org/10.1007/s10115-023-01885-8openalex-snapshot

MIN: multi-dimensional interest network for click-through rate prediction

inferred← citeshttps://doi.org/10.1007/s10462-023-10447-xopenalex-snapshot

PC-IEN: a click-through rate prediction method based on dynamic collaborative personalized interest extraction

inferred← citeshttps://doi.org/10.1007/s10462-024-10939-4openalex-snapshot

A systematic literature review of recent advances on context-aware recommender systems

inferred← citeshttps://doi.org/10.1007/s10489-019-01571-9openalex-snapshot

A CTR prediction model based on user interest via attention mechanism

inferred← citeshttps://doi.org/10.1007/s10489-020-01661-zopenalex-snapshot

Collaborative filtering recommendation algorithm based on interval-valued fuzzy numbers

inferred← citeshttps://doi.org/10.1007/s10489-020-01921-yopenalex-snapshot

Neural attention model for recommendation based on factorization machines

inferred← citeshttps://doi.org/10.1007/s10489-020-01951-6openalex-snapshot

Modeling low- and high-order feature interactions with FM and self-attention network

inferred← citeshttps://doi.org/10.1007/s10489-021-02678-8openalex-snapshot

JointCTR: a joint CTR prediction framework combining feature interaction and sequential behavior learning

inferred← citeshttps://doi.org/10.1007/s10489-021-02931-0openalex-snapshot

Hierarchical attention and feature projection for click-through rate prediction

inferred← citeshttps://doi.org/10.1007/s10489-024-05659-9openalex-snapshot

Context-aware cross feature attentive network for click-through rate predictions

inferred← citeshttps://doi.org/10.1007/s10489-026-07232-yopenalex-snapshot

Graph diffusion arithmetic feature interaction transformer with temporal information for bitcoin anti-money laundering

inferred← citeshttps://doi.org/10.1007/s10586-018-2098-yopenalex-snapshot

A unified neural model for review-based rating prediction by leveraging multi-criteria ratings and review text

inferred← citeshttps://doi.org/10.1007/s10618-025-01094-7openalex-snapshot

Multi-neighbor social recommendation with attentional graph convolutional network

inferred← citeshttps://doi.org/10.1007/s10660-021-09513-9openalex-snapshot

Real-time bidding campaigns optimization using user profile settings

inferred← citeshttps://doi.org/10.1007/s10660-025-09978-yopenalex-snapshot

Dynamic heterogeneous graph convolutional networks for click-through rate prediction in recommender systems

inferred← citeshttps://doi.org/10.1007/s10660-025-10061-9openalex-snapshot

Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectives

inferred← citeshttps://doi.org/10.1007/s10791-021-09392-6openalex-snapshot

Algorithmic copywriting: automated generation of health-related advertisements to improve their performance

inferred← citeshttps://doi.org/10.1007/s10994-021-06067-7openalex-snapshot

Large scale tensor regression using kernels and variational inference

inferred← citeshttps://doi.org/10.1007/s11042-018-5876-xopenalex-snapshot

Sentiment-aware personalized tweet recommendation through multimodal FFM

inferred← citeshttps://doi.org/10.1007/s11042-020-09890-7openalex-snapshot

User models for multi-context-aware music recommendation

inferred← citeshttps://doi.org/10.1007/s11042-023-14584-xopenalex-snapshot

A disaggregated interest-extraction network for click-through rate prediction

inferred← citeshttps://doi.org/10.1007/s11063-022-10889-4openalex-snapshot

HoINT: Learning Explicit and Implicit High-order Feature Interactions for Click-through Rate Prediction

inferred← citeshttps://doi.org/10.1007/s11063-023-11310-4openalex-snapshot

Neighbor-Augmented Knowledge Graph Attention Network for Recommendation

inferred← citeshttps://doi.org/10.1007/s11063-023-11363-5openalex-snapshot

Influence of Review Properties in the Usefulness Analysis of Consumer Reviews: A Review-Based Recommender System for Rating Prediction

inferred← citeshttps://doi.org/10.1007/s11063-024-11475-6openalex-snapshot

BIKAGCN: Knowledge-Aware Recommendations Under Bi-layer Graph Convolutional Networks

inferred← citeshttps://doi.org/10.1007/s11227-023-05598-1openalex-snapshot

CFF: combining interactive features and user interest features for click-through rate prediction

inferred← citeshttps://doi.org/10.1007/s11227-025-07652-6openalex-snapshot

Click-through rate prediction via feature selection and layer-wise residual gated cross-network

inferred← citeshttps://doi.org/10.1007/s11265-022-01773-4openalex-snapshot

Object-aware Policy Network in Deep Recommender Systems

inferred← citeshttps://doi.org/10.1007/s11277-023-10710-yopenalex-snapshot

Deep Relevance Perception Network Based on Multi-task and Multi-scale for Power Generation Prediction Model of Distribution Network Source

inferred← citeshttps://doi.org/10.1007/s11280-021-00924-0openalex-snapshot

DFIAM: deep factorization integrated attention mechanism for smart TV recommendation

inferred← citeshttps://doi.org/10.1007/s11280-022-01050-1openalex-snapshot

Graph-aware collaborative reasoning for click-through rate prediction

inferred← citeshttps://doi.org/10.1007/s11280-024-01310-2openalex-snapshot

SS4CTR: a semi-supervised framework for enhancing click-through rate prediction in sparse and imbalanced data

inferred← citeshttps://doi.org/10.1007/s11280-025-01376-6openalex-snapshot

Hi-GAFM: Hierarchical Interpretable Graph Attention Factorization Machine for CTR Prediction

inferred← citeshttps://doi.org/10.1007/s11633-024-1505-5openalex-snapshot

GraphFM: Graph Factorization Machines for Feature Interaction Modelling

inferred← citeshttps://doi.org/10.1007/s11704-021-0261-8openalex-snapshot

Graph convolution machine for context-aware recommender system

inferred← citeshttps://doi.org/10.1007/s11761-026-00491-0openalex-snapshot

MageRec: a parallel mamba–attention gated network for sequential recommendation

inferred← citeshttps://doi.org/10.1007/s13042-025-02640-xopenalex-snapshot

Ff-mat:a model integrating global feature filter and diverse interactions for click-through rate prediction

inferred← citeshttps://doi.org/10.1007/s41019-023-00217-8openalex-snapshot

Evolving Interest with Feature Co-action Network for CTR Prediction

inferred← citeshttps://doi.org/10.1007/s42979-025-04597-8openalex-snapshot

Explainable ML Models for E-commerce Ad Optimization

inferred← citeshttps://doi.org/10.1007/s44176-026-00075-4openalex-snapshot

Personalized video recommendation with attentive multi-view learning and long-term and short-term interest modeling

inferred← citeshttps://doi.org/10.1016/j.artint.2021.103589openalex-snapshot

Bayesian feature interaction selection for factorization machines

inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107484openalex-snapshot

Collaborative filtering via factorized neural networks

inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107652openalex-snapshot

Attention-based dynamic user preference modeling and nonlinear feature interaction learning for collaborative filtering recommendation

inferred← citeshttps://doi.org/10.1016/j.cose.2021.102504openalex-snapshot

Practical differentially private online advertising

inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100849openalex-snapshot

A comprehensive review of recommender systems: Transitioning from theory to practice

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111184openalex-snapshot

Dynamic masking-based feature interaction modeling for e-commerce click-through rate prediction

inferred← citeshttps://doi.org/10.1016/j.eswa.2018.07.065openalex-snapshot

EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction

inferred← citeshttps://doi.org/10.1016/j.eswa.2019.113116openalex-snapshot

TDR: Two-stage deep recommendation model based on mSDA and DNN

inferred← citeshttps://doi.org/10.1016/j.eswa.2020.114469openalex-snapshot

CPIN: Comprehensive present-interest network for CTR prediction

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114756openalex-snapshot

Customer purchase prediction from the perspective of imbalanced data: A machine learning framework based on factorization machine

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114899openalex-snapshot

A novel hybrid ensemble model based on tree-based method and deep learning method for default prediction

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.116513openalex-snapshot

KLGCN: Knowledge graph-aware Light Graph Convolutional Network for recommender systems

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118425openalex-snapshot

An embedding and interactions learning approach for ID feature in deep recommender system

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121411openalex-snapshot

Feature interactive graph neural network for KG-based recommendation

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125256openalex-snapshot

Adaptive Deep Neural Network for Click-Through Rate estimation

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127685openalex-snapshot

Personalized anchor debiased-contrastive learning for multi-behavior recommendation

inferred← citeshttps://doi.org/10.1016/j.ifacol.2020.12.370openalex-snapshot

Supervised Block-Aware Factorization Machine for Multi-Block Quality-Relevant Monitoring

inferred← citeshttps://doi.org/10.1016/j.ins.2020.09.005openalex-snapshot

Multi-view feature transfer for click-through rate prediction

inferred← citeshttps://doi.org/10.1016/j.ins.2020.09.067openalex-snapshot

Fuzzy factorization machine

inferred← citeshttps://doi.org/10.1016/j.ins.2021.06.079openalex-snapshot

Deep Field Relation Neural Network for click-through rate prediction

inferred← citeshttps://doi.org/10.1016/j.ipm.2019.102076openalex-snapshot

HoAFM: A High-order Attentive Factorization Machine for CTR Prediction

inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102853openalex-snapshot

Click-through rate prediction in online advertising: A literature review

inferred← citeshttps://doi.org/10.1016/j.ipm.2022.103137openalex-snapshot

Causality-based CTR prediction using graph neural networks

inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103950openalex-snapshot

Upper bound on the predictability of rating prediction in recommender systems

inferred← citeshttps://doi.org/10.1016/j.knosys.2019.104932openalex-snapshot

An encoder–decoder switch network for purchase prediction

inferred← citeshttps://doi.org/10.1016/j.knosys.2020.105988openalex-snapshot

Towards context-aware collaborative filtering by learning context-aware latent representations

inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106048openalex-snapshot

Memory-aware gated factorization machine for top-N recommendation

inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106170openalex-snapshot

State representation modeling for deep reinforcement learning based recommendation

inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107194openalex-snapshot

ADCF: Attentive representation learning and deep collaborative filtering model

inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110704openalex-snapshot

A knowledge distillation-based deep interaction compressed network for CTR prediction

inferred← citeshttps://doi.org/10.1016/j.neucom.2019.07.015openalex-snapshot

Merging visual features and temporal dynamics in sequential recommendation

inferred← citeshttps://doi.org/10.1016/j.neucom.2020.07.057openalex-snapshot

Top-aware reinforcement learning based recommendation

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.02.036openalex-snapshot

A joint learning model for click-through prediction in display advertising

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.03.076openalex-snapshot

Enhancing social recommendation via two-level graph attentional networks

inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126374openalex-snapshot

AAIN: Attentional aggregative interaction network for deep learning based recommender systems

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129181openalex-snapshot

FinalGNN: A dual feature graph enhanced model for CTR prediction

inferred← citeshttps://doi.org/10.1016/j.neunet.2019.09.020openalex-snapshot

Operation-aware Neural Networks for user response prediction

inferred← citeshttps://doi.org/10.1016/j.neunet.2021.06.024openalex-snapshot

Sparse random feature maps for the item-multiset kernel

inferred← citeshttps://doi.org/10.1016/j.patrec.2020.11.010openalex-snapshot

Enhanced factorization machine via neural pairwise ranking and attention networks

inferred← citeshttps://doi.org/10.1016/j.procs.2018.08.264openalex-snapshot

Adaptive look-alike targeting in social networks advertising

inferred← citeshttps://doi.org/10.1016/j.procs.2021.02.116openalex-snapshot

Explicit Sparse Self-Attentive Network for CTR Prediction

inferred← citeshttps://doi.org/10.1016/j.synbio.2018.10.002openalex-snapshot

Synergistic drug combinations prediction by integrating pharmacological data

inferred← citeshttps://doi.org/10.1017/9781009447515.004openalex-snapshot

Pre-Deep Learning Era

inferred← citeshttps://doi.org/10.1017/s0269888925000025openalex-snapshot

A comprehensive survey on advertising click-through rate prediction algorithm

inferred← citeshttps://doi.org/10.1021/acs.jpcc.4c01715openalex-snapshot

Temporal Decoupling-Based Machine Learning Framework for Precise Efficiency Prediction in Perovskite Solar Cells

inferred← citeshttps://doi.org/10.1038/s41598-021-03871-yopenalex-snapshot

Session interest model for CTR prediction based on self-attention mechanism

inferred← citeshttps://doi.org/10.1038/s41598-025-15138-xopenalex-snapshot

Cyberattack event and arguments extraction based on feature interaction and few-shot learning

inferred← citeshttps://doi.org/10.1038/s41598-025-99671-9openalex-snapshot

Session interest model for CTR prediction based on feature co-action network

inferred← citeshttps://doi.org/10.1049/cit2.12343openalex-snapshot

Bayesian attention‐based user behaviour modelling for click‐through rate prediction

inferred← citeshttps://doi.org/10.1080/00207543.2022.2127964openalex-snapshot

A factorisation-based recommendation model for customised products configuration design

inferred← citeshttps://doi.org/10.1080/10485252.2025.2456767openalex-snapshot

Stochastic feature selection with annealing and its applications to streaming data

inferred← citeshttps://doi.org/10.1080/1062936x.2023.2254225openalex-snapshot

What is the ecotoxicity of a given chemical for a given aquatic species? Predicting interactions between species and chemicals using recommender system techniques

inferred← citeshttps://doi.org/10.1088/2632-2153/adf68dopenalex-snapshot

Adaptive continuous-discrete variables optimization for active learning with extremely sparse data in optical material design

inferred← citeshttps://doi.org/10.1108/ijwis-07-2023-0110openalex-snapshot

Click-through rate prediction model based on graph networks and feature squeeze-and-excitation mechanism

inferred← citeshttps://doi.org/10.1109/access.2017.2787741openalex-snapshot

Field-Aware Matrix Factorization for Recommender Systems

inferred← citeshttps://doi.org/10.1109/access.2018.2850062openalex-snapshot

Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data

inferred← citeshttps://doi.org/10.1109/access.2019.2921026openalex-snapshot

Field-Aware Neural Factorization Machine for Click-Through Rate Prediction

inferred← citeshttps://doi.org/10.1109/access.2019.2935090openalex-snapshot

An Incremental Group-Specific Framework Based on Community Detection for Cold Start Recommendation

inferred← citeshttps://doi.org/10.1109/access.2019.2935121openalex-snapshot

Customer Purchase Intent Prediction Under Online Multi-Channel Promotion: A Feature-Combined Deep Learning Framework

inferred← citeshttps://doi.org/10.1109/access.2019.2941994openalex-snapshot

High-Order Factorization Machine Based on Cross Weights Network for Recommendation

inferred← citeshttps://doi.org/10.1109/access.2020.2970463openalex-snapshot

An Effective Budget Management Framework for Real-Time Bidding in Online Advertising

inferred← citeshttps://doi.org/10.1109/access.2020.2974893openalex-snapshot

Hierarchical Attentional Factorization Machines for Expert Recommendation in Community Question Answering

inferred← citeshttps://doi.org/10.1109/access.2020.2988115openalex-snapshot

CTR Prediction Models Considering the Dynamics of User Interest

inferred← citeshttps://doi.org/10.1109/access.2020.3000894openalex-snapshot

A Rapid Scalable Embedding and Mapping Model for Recommendation

inferred← citeshttps://doi.org/10.1109/access.2020.3016824openalex-snapshot

An Expected Win Rate-Based Real Time Bidding Strategy for Branding Campaign by the Model-Free Reinforcement Learning Model

inferred← citeshttps://doi.org/10.1109/access.2020.3034630openalex-snapshot

Click-Through Rate Prediction Combining Mutual Information Feature Weighting and Feature Interaction

inferred← citeshttps://doi.org/10.1109/access.2020.3039388openalex-snapshot

An Enhanced Multi-Modal Recommendation Based on Alternate Training With Knowledge Graph Representation

inferred← citeshttps://doi.org/10.1109/access.2020.3044046openalex-snapshot

Joint Matrix Factorization: A Novel Approach for Recommender System

inferred← citeshttps://doi.org/10.1109/access.2021.3116705openalex-snapshot

GCN-Int: A Click-Through Rate Prediction Model Based on Graph Convolutional Network Interaction

inferred← citeshttps://doi.org/10.1109/access.2022.3215732openalex-snapshot

User Demographic Prediction Based on the Fusion of Mobile and Survey Data

inferred← citeshttps://doi.org/10.1109/access.2023.3255983openalex-snapshot

A Comparative Analysis of Sampling Techniques for Click-Through Rate Prediction in Native Advertising

inferred← citeshttps://doi.org/10.1109/access.2023.3295894openalex-snapshot

FedDeepFM: A Factorization Machine-Based Neural Network for Recommendation in Federated Learning

inferred← citeshttps://doi.org/10.1109/access.2023.3309834openalex-snapshot

Adaptive Feature Cross-Compression for Credit Default Prediction

inferred← citeshttps://doi.org/10.1109/access.2023.3320142openalex-snapshot

Deep Adaptive Interest Network for CTR Prediction

inferred← citeshttps://doi.org/10.1109/access.2023.3322429openalex-snapshot

Incorporating Feature Interactions and Contrastive Learning for Credit Prediction

inferred← citeshttps://doi.org/10.1109/access.2025.3564895openalex-snapshot

Feature Reweighting-Based Factorization Machine for Effective Learning Latent Representation

inferred← citeshttps://doi.org/10.1109/aeeca59734.2023.00101openalex-snapshot

Optimization of the Prediction Model of Display Advertisement Width and Depth Click Rate

inferred← citeshttps://doi.org/10.1109/aicit62434.2024.10730131openalex-snapshot

A Data Enhancement Method for Click Prediction of Push Ads

inferred← citeshttps://doi.org/10.1109/aihcir61661.2023.00080openalex-snapshot

Interactive Recommendation Algorithm based on Combination of DFM and Offline Reinforcement Learning

showing the first 200 of 704

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.