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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/s10618-015-0417-yopenalex-snapshot

General factorization framework for context-aware recommendations

inferredcites →https://doi.org/10.1007/s11257-012-9136-xopenalex-snapshot

Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols

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

Collaborative Filtering for Implicit Feedback Datasets

inferredcites →https://doi.org/10.1109/icdm.2016.0151openalex-snapshot

Product-Based Neural Networks for User Response Prediction

inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot

Matrix Factorization Techniques for Recommender Systems

inferredcites →https://doi.org/10.1145/1390156.1390267openalex-snapshot

Bayesian probabilistic matrix factorization using Markov chain Monte Carlo

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/10.1145/1807167.1807216openalex-snapshot

Multiple feature fusion for social media applications

inferredcites →https://doi.org/10.1145/1871437.1871535openalex-snapshot

You are where you tweet

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

Factorization Machines with libFM

inferredcites →https://doi.org/10.1145/2348283.2348308openalex-snapshot

TFMAP

inferredcites →https://doi.org/10.1145/2488388.2488392openalex-snapshot

Hierarchical geographical modeling of user locations from social media posts

inferredcites →https://doi.org/10.1145/2645710.2645756openalex-snapshot

CSLIM

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

Improving User Topic Interest Profiles by Behavior Factorization

inferredcites →https://doi.org/10.1145/2740908.2742726openalex-snapshot

AutoRec

inferredcites →https://doi.org/10.1145/2792838.2800189openalex-snapshot

Exploiting Geo-Spatial Preference for Personalized Expert Recommendation

inferredcites →https://doi.org/10.1145/2959100.2959151openalex-snapshot

TAPER

inferredcites →https://doi.org/10.1145/2959100.2959162openalex-snapshot

Modelling Contextual Information in Session-Aware Recommender Systems with Neural Networks

inferredcites →https://doi.org/10.1145/2959100.2959185openalex-snapshot

Local Item-Item Models For Top-N Recommendation

inferredcites →https://doi.org/10.1145/2959100.2959190openalex-snapshot

Deep Neural Networks for YouTube Recommendations

inferredcites →https://doi.org/10.1145/2988450.2988452openalex-snapshot

Improved Recurrent Neural Networks for Session-based Recommendations

inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot

Wide & Deep Learning for Recommender Systems

inferredcites →https://doi.org/10.1145/3018661.3018665openalex-snapshot

Joint Deep Modeling of Users and Items Using Reviews for Recommendation

inferredcites →https://doi.org/10.1145/3018661.3018689openalex-snapshot

Recurrent Recommender Networks

inferredcites →https://doi.org/10.1145/3018661.3018719openalex-snapshot

Neural Survival Recommender

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

Neural Collaborative Filtering

inferredcites →https://doi.org/10.1145/3038912.3052713openalex-snapshot

Beyond Globally Optimal

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/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.24963/ijcai.2017/504openalex-snapshot

What to Do Next: Modeling User Behaviors by Time-LSTM

inferredcites →https://doi.org/10.48550/arxiv.1207.4676openalex-snapshot

Proceedings of the 29th International Conference on Machine Learning (ICML-12)

inferredcites →https://doi.org/10.48550/arxiv.1406.2710openalex-snapshot

A Multiplicative Model for Learning Distributed Text-Based Attribute Representations

inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot

Neural Machine Translation by Jointly Learning to Align and Translate

inferredcites →https://doi.org/10.48550/arxiv.1502.02367openalex-snapshot

Gated Feedback Recurrent Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1503.08895openalex-snapshot

End-To-End Memory Networks

inferredcites →https://doi.org/10.48550/arxiv.1511.06939openalex-snapshot

Session-based Recommendations with Recurrent Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1606.06630openalex-snapshot

On Multiplicative Integration with Recurrent Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1612.08083openalex-snapshot

Language Modeling with Gated Convolutional Networks

inferredcites →https://doi.org/10.5555/3026877.3026899openalex-snapshot

TensorFlow: A system for large-scale machine learning

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.4690908openalex-extracted

Event Prediction Model Combining Ordinary Differential Equation and Hypernetworks

inferred← citeshttps://doi.org/10.1002/for.2771openalex-snapshot

Prediction of remaining time on site for e‐commerce users: A SOM and long short‐term memory study

inferred← citeshttps://doi.org/10.1002/for.3250openalex-snapshot

Forecasting Natural Gas Futures Prices Using Hybrid Machine Learning Models During Turbulent Market Conditions: The Case of the Russian–Ukraine Crisis

inferred← citeshttps://doi.org/10.1002/smll.202412463openalex-snapshot

Enhancement Strategies of Calcium Looping Technology and CaO‐Based Sorbents for Carbon Capture

inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_24openalex-snapshot

Music Recommendation Systems: Techniques, Use Cases, and Challenges

inferred← citeshttps://doi.org/10.1007/978-1-0716-2197-4_6openalex-snapshot

Context-Aware Recommender Systems: From Foundations to Recent Developments

inferred← citeshttps://doi.org/10.1007/978-3-030-75765-6_45openalex-snapshot

IACN: Influence-Aware and Attention-Based Co-evolutionary Network for Recommendation

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Deep Structural Point Process for Learning Temporal Interaction Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_27openalex-snapshot

Hierarchical Attention Factorization Machine for CTR Prediction

inferred← citeshttps://doi.org/10.1007/978-3-031-00126-0_6openalex-snapshot

Knowledge-Enhanced Multi-task Learning for Course Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-05933-9_23openalex-snapshot

Order-Aware Graph Neural Network for Sequential Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-13832-4_50openalex-snapshot

Dynamic Recurrent Embedding for Temporal Interaction Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-18907-4_53openalex-snapshot

Every Corporation Owns Its Structure: Corporate Credit Rating via Graph Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-031-22192-7_2openalex-snapshot

Personalization Through User Attributes for Transformer-Based Sequential Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-30672-3_9openalex-snapshot

PIDE: Propagating Influence of Dynamic Evolution on Interaction Networks for Recommendation

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/10.1007/978-3-031-43427-3_36openalex-snapshot

Future Augmentation with Self-distillation in Recommendation

inferred← citeshttps://doi.org/10.1007/978-3-031-81900-1_10openalex-snapshot

A Blockchain and IPFS-Enhanced Model for Attack Detection and Resource Efficiency

inferred← citeshttps://doi.org/10.1007/978-3-031-87569-4_9openalex-snapshot

Methodology for Real Estate Recommendation Based on Customer Behavior Knowledge as Context-Approach

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/10.1007/978-3-032-06106-5_4openalex-snapshot

Reward Shaping for User Satisfaction

inferred← citeshttps://doi.org/10.1007/978-981-15-2612-1_12openalex-snapshot

Two-Way Sequence Modeling for Context-Aware Recommender Systems with Multiple Interactive Bidirectional Gated Recurrent Unit

inferred← citeshttps://doi.org/10.1007/978-981-96-0850-8_10openalex-snapshot

Multi-Attribute Sequential Recommendation

inferred← citeshttps://doi.org/10.1007/978-981-99-8964-5_4openalex-snapshot

Deep Learning-Based Recommendation Algorithms

inferred← citeshttps://doi.org/10.1007/978-981-99-9896-8_2openalex-snapshot

Convolutional Neural Network Based QoS Prediction with Dimensional Correlation

inferred← citeshttps://doi.org/10.1007/s00521-024-10866-zopenalex-snapshot

In-depth survey: deep learning in recommender systems—exploring prediction and ranking models, datasets, feature analysis, and emerging trends

inferred← citeshttps://doi.org/10.1007/s10462-018-09680-6openalex-snapshot

Expert finding in community question answering: a review

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/s10489-019-01430-7openalex-snapshot

Multimodal data fusion framework based on autoencoders for top-N recommender systems

inferred← citeshttps://doi.org/10.1007/s10489-024-05851-xopenalex-snapshot

Time-aware tensor factorization for temporal recommendation

inferred← citeshttps://doi.org/10.1007/s10796-019-09935-9openalex-snapshot

RecSys Issues Ontology: A Knowledge Classification of Issues for Recommender Systems Researchers

inferred← citeshttps://doi.org/10.1007/s11063-021-10647-yopenalex-snapshot

Ownership Recommendation via Iterative Adversarial Training

inferred← citeshttps://doi.org/10.1007/s11063-024-11542-yopenalex-snapshot

HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation

inferred← citeshttps://doi.org/10.1007/s11227-023-05348-3openalex-snapshot

Long- and short-term collaborative attention networks for sequential recommendation

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/s11280-019-00683-zopenalex-snapshot

A meta-feature based unified framework for both cold-start and warm-start explainable recommendations

inferred← citeshttps://doi.org/10.1007/s11280-023-01163-1openalex-snapshot

Towards more effective encoders in pre-training for sequential recommendation

inferred← citeshttps://doi.org/10.1007/s11294-022-09861-8openalex-snapshot

A Novel Machine Learning Approach for Predicting the NIFTY50 Index in India

inferred← citeshttps://doi.org/10.1007/s11633-023-1425-9openalex-snapshot

Corporate Credit Ratings Based on Hierarchical Heterogeneous Graph Neural Networks

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/s12652-019-01583-wopenalex-snapshot

RETRACTED ARTICLE: Context-Category Specific sequence aware Point-Of-Interest Recommender System with Multi-Gated Recurrent Unit

inferred← citeshttps://doi.org/10.1007/s13042-023-01974-8openalex-snapshot

Contrastive sequential interaction network learning on co-evolving Riemannian spaces

inferred← citeshttps://doi.org/10.1007/s13748-025-00372-1openalex-snapshot

Optimization of movie recommender system using differential evolutionary bees algorithm for clustering

inferred← citeshttps://doi.org/10.1007/s44196-024-00408-9openalex-snapshot

Sequence-Aware Graph Neural Network Incorporating Neighborhood Information for Session-Based Recommendation

inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109894openalex-snapshot

A time-aware self-attention based neural network model for sequential recommendation

inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113289openalex-snapshot

Popularity-aware dynamic graph neural collaborative filtering with local-global convergence

inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100818openalex-snapshot

Sequential recommender systems: A methodological taxonomy and research frontiers

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115341openalex-snapshot

Exploring the effects of different Clustering Methods on a News Recommender System

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115539openalex-snapshot

Attribute-based Neural Collaborative Filtering

inferred← citeshttps://doi.org/10.1016/j.eswa.2021.116262openalex-snapshot

Modeling sentimental bias and temporal dynamics for adaptive deep recommendation system

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121808openalex-snapshot

MGT: Multi-Granularity Transformer leveraging multi-level relation for sequential recommendation

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125086openalex-snapshot

Dynamic recommender system for chronic disease-focused online health community

inferred← citeshttps://doi.org/10.1016/j.ijmedinf.2020.104175openalex-snapshot

Examining algorithmic biases in YouTube’s recommendations of vaccine videos

inferred← citeshttps://doi.org/10.1016/j.inffus.2021.11.011openalex-snapshot

Tabular data: Deep learning is not all you need

inferred← citeshttps://doi.org/10.1016/j.ipm.2019.102092openalex-snapshot

A Contextual Recurrent Collaborative Filtering framework for modelling sequences of venue checkins

inferred← citeshttps://doi.org/10.1016/j.iswa.2024.200474openalex-snapshot

Addressing sparse data challenges in recommendation systems: A systematic review of rating estimation using sparse rating data and profile enrichment techniques

inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107375openalex-snapshot

GFE: General Knowledge Enhanced Framework for Explainable Sequential Recommendation

inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107998openalex-snapshot

Continuous temporal network embedding by modeling neighborhood propagation process

inferred← citeshttps://doi.org/10.1016/j.knosys.2022.110174openalex-snapshot

Modeling and predicting user preferences with multiple item attributes for sequential recommendations

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113154openalex-snapshot

CoreNet: Leveraging context-aware representations via MLP networks for CTR prediction

inferred← citeshttps://doi.org/10.1016/j.neucom.2019.04.073openalex-snapshot

A hierarchical contextual attention-based network for sequential recommendation

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127558openalex-snapshot

Integration of short and long-term interests: A preference aware session-based recommender

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107731openalex-snapshot

Event prediction model combining ordinary differential equation and hypernetworks

inferred← citeshttps://doi.org/10.1016/j.physa.2019.121323openalex-snapshot

Users’ preference-degree considered diffusion for recommendation on bipartite networks

inferred← citeshttps://doi.org/10.1049/aie2.70004openalex-snapshot

Contrastive Learning for Sequential Recommendation With Negative Selection and Augmentation

inferred← citeshttps://doi.org/10.1080/10494820.2023.2176521openalex-snapshot

How much is a “feedback” worth? User engagement and interaction for computer-supported adaptive quizzing

inferred← citeshttps://doi.org/10.1080/14680777.2020.1783806openalex-snapshot

Under the radar: older women YouTubers and algorithmic influence

inferred← citeshttps://doi.org/10.1088/2057-1976/acd255openalex-snapshot

Patient-specific quality assurance failure prediction with deep tabular models

inferred← citeshttps://doi.org/10.1089/big.2021.0320openalex-snapshot

Predicting Actions of Users Using Heterogeneous Online Signals

inferred← citeshttps://doi.org/10.1109/acait67930.2025.11522652openalex-snapshot

RHGAN: A Relation-Aware Heterogeneous Graph Attention Network for Recommendation

inferred← citeshttps://doi.org/10.1109/access.2018.2871970openalex-snapshot

SEMA: Deeply Learning Semantic Meanings and Temporal Dynamics for Recommendations

inferred← citeshttps://doi.org/10.1109/access.2018.2886256openalex-snapshot

SEMAX: Multi-Task Learning for Improving Recommendations

inferred← citeshttps://doi.org/10.1109/access.2019.2926074openalex-snapshot

Neural Session-Aware Recommendation

inferred← citeshttps://doi.org/10.1109/access.2020.2992519openalex-snapshot

Deep Collaborative Filtering Based on Outer Product

inferred← citeshttps://doi.org/10.1109/access.2020.3029722openalex-snapshot

CATA++: A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles

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Multiple Time Series Perceptive Network for User Tag Suggestion in Online Innovation Community

inferred← citeshttps://doi.org/10.1109/access.2021.3072165openalex-snapshot

Context-Aware Recommender Systems for Social Networks: Review, Challenges and Opportunities

inferred← citeshttps://doi.org/10.1109/access.2021.3077564openalex-snapshot

Real Estate Recommendation Approach for Solving the Item Cold-Start Problem

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Evaluating Top-N Recommendations Using Ranked Error Approach: An Empirical Analysis

inferred← citeshttps://doi.org/10.1109/access.2023.3310470openalex-snapshot

Deep Contextual Grid Triplet Network for Context-Aware Recommendation

inferred← citeshttps://doi.org/10.1109/access.2024.3522049openalex-snapshot

A Reproducible Analysis of Sequential Recommender Systems

inferred← citeshttps://doi.org/10.1109/access.2025.3583094openalex-snapshot

Enhancing LLMs for Sequential Recommendation With Reversed User History and User Embeddings

inferred← citeshttps://doi.org/10.1109/access.2025.3598937openalex-snapshot

Utilizing Advanced Transformers for Summarized Review-Aware Recommender System

inferred← citeshttps://doi.org/10.1109/access.2026.3663928openalex-snapshot

Bridging KANs and Tabular Deep Learning: Feature Embeddings and Efficient Ensembling

inferred← citeshttps://doi.org/10.1109/asonam55673.2022.10068595openalex-snapshot

Session-based News Recommendation from Temporal User Commenting Dynamics

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An Item Recommendation Approach by Fusing Images based on Neural Networks

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Tensor-based Complementary Product Recommendation

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Restaurant Sales Forecasting with Feature Interaction-learning Mechanism-based Neural Network Model

inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825764openalex-snapshot

GRAINRec: Graph and Attention Integrated Approach for Real-Time Session-Based Item Recommendations

inferred← citeshttps://doi.org/10.1109/bigdatase53435.2021.00015openalex-snapshot

UEIN: A User Evolving Interests Network for Click-Through Rate Prediction

inferred← citeshttps://doi.org/10.1109/coins57856.2023.10189288openalex-snapshot

Predicting Asset Returns with Self-Attentive Networks

inferred← citeshttps://doi.org/10.1109/compsac61105.2024.00042openalex-snapshot

Sequential Recommendation with Temporal Influence Based on Hawkes Process

inferred← citeshttps://doi.org/10.1109/dsc.2019.00017openalex-snapshot

Attentive Context-Aware Music Recommendation

inferred← citeshttps://doi.org/10.1109/dsis67228.2025.11390615openalex-snapshot

DICN: A Deep Interaction and Adaptive Weighting Network for Click-Through Rate Prediction

inferred← citeshttps://doi.org/10.1109/epce58798.2023.00038openalex-snapshot

Recommendation Model of Graph Neural Network Based on Neighbor Aware Interaction

inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00051openalex-snapshot

Bilinear Graph Neural Network-Enhanced Web Services Classification

inferred← citeshttps://doi.org/10.1109/iccse51940.2021.9569417openalex-snapshot

Self-Attention based Multitasking Sequential Recom Mendation

inferred← citeshttps://doi.org/10.1109/icde53745.2022.00113openalex-snapshot

Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction

inferred← citeshttps://doi.org/10.1109/icdew.2019.00-11openalex-snapshot

Context-Aware Co-attention Neural Network for Service Recommendations

inferred← citeshttps://doi.org/10.1109/icdm.2018.00035openalex-snapshot

Self-Attentive Sequential Recommendation

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Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling

inferred← citeshttps://doi.org/10.1109/icdm58522.2023.00185openalex-snapshot

SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems

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Contrastive Learning for Adapting Language Model to Sequential Recommendation

inferred← citeshttps://doi.org/10.1109/icdmw51313.2020.00062openalex-snapshot

Learning Student Interest Trajectory for MOOC Thread Recommendation

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A Survey on Sequential Recommendation

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TransCrossCF: Transition-based Cross-Domain Collaborative Filtering

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Profiling Pumped Storage Power Station via Multi-Sequence Joint Regression

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Sequential Recommendation with Dual Learning

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Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks

inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533739openalex-snapshot

Sequential Recommendation with Context-Aware Collaborative Graph Attention Networks

inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533867openalex-snapshot

ADA: Adaptive Depth Attention Model for Click - Through Rate Prediction

inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191490openalex-snapshot

SATNet: Upgraded LSTM Network For Mining Time Series Correlation Utilizing The Self-Attention Mechanism

inferred← citeshttps://doi.org/10.1109/isnib57382.2022.10075866openalex-snapshot

Graph Sampling Aggregators Neural Network for Session-based Recommender System (GS-SBR)

inferred← citeshttps://doi.org/10.1109/taes.2024.3441548openalex-snapshot

Prior Information-Assisted Few-Shot HRRP Recognition Based on Task-Wise Shrinkage Quadratic Discriminant Analysis

inferred← citeshttps://doi.org/10.1109/tcss.2022.3217277openalex-snapshot

Location-Aware Web Service QoS Prediction via Deep Collaborative Filtering

inferred← citeshttps://doi.org/10.1109/tcss.2024.3378454openalex-snapshot

Spatial and Temporal User Interest Representations for Sequential Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2020.3016482openalex-snapshot

AutoHash: Learning Higher-order Feature Interactions for Deep CTR Prediction

inferred← citeshttps://doi.org/10.1109/tkde.2020.3048788openalex-snapshot

CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering

inferred← citeshttps://doi.org/10.1109/tkde.2021.3049692openalex-snapshot

: Hybrid Associations Models for Sequential Recommendation

inferred← citeshttps://doi.org/10.1109/tkde.2021.3077524openalex-snapshot

Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions

inferred← citeshttps://doi.org/10.1109/tkde.2022.3145690openalex-snapshot

A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation

inferred← citeshttps://doi.org/10.1109/tnnls.2021.3069058openalex-snapshot

Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings

inferred← citeshttps://doi.org/10.1109/tnnls.2026.3680219openalex-snapshot

Explainable Multihop Social Link Prediction Based on Temporal Logical Rules in Dynamic Social Networks

inferred← citeshttps://doi.org/10.1109/tnsm.2023.3234067openalex-snapshot

Web Service Recommendation via Combining Bilinear Graph Representation and xDeepFM Quality Prediction

inferred← citeshttps://doi.org/10.1142/s2196888823500124openalex-snapshot

An Item–Item Collaborative Filtering Recommender System Based on Item Reviews: An Approach with Deep Learning

inferred← citeshttps://doi.org/10.1142/s2811032323300013openalex-snapshot

Recommendation System: A Survey and New Perspectives

inferred← citeshttps://doi.org/10.1145/3209978.3209981openalex-snapshot

Adversarial Personalized Ranking for Recommendation

inferred← citeshttps://doi.org/10.1145/3209978.3210042openalex-snapshot

A Contextual Attention Recurrent Architecture for Context-Aware Venue Recommendation

inferred← citeshttps://doi.org/10.1145/3219819.3219894openalex-snapshot

Q&R

inferred← citeshttps://doi.org/10.1145/3240323.3241618openalex-snapshot

Modularizing deep neural network-inspired recommendation algorithms

inferred← citeshttps://doi.org/10.1145/3269206.3271689openalex-snapshot

Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions

inferred← citeshttps://doi.org/10.1145/3269206.3271792openalex-snapshot

Recommendation Through Mixtures of Heterogeneous Item Relationships

inferred← citeshttps://doi.org/10.1145/3269206.3272019openalex-snapshot

Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering

inferred← citeshttps://doi.org/10.1145/3289600.3290989openalex-snapshot

Session-Based Social Recommendation via Dynamic Graph Attention Networks

inferred← citeshttps://doi.org/10.1145/3289600.3290999openalex-snapshot

Top-K Off-Policy Correction for a REINFORCE Recommender System

inferred← citeshttps://doi.org/10.1145/3289600.3291019openalex-snapshot

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior

inferred← citeshttps://doi.org/10.1145/3289600.3291024openalex-snapshot

Recurrent Recommendation with Local Coherence

inferred← citeshttps://doi.org/10.1145/3292500.3330745openalex-snapshot

Fairness in Recommendation Ranking through Pairwise Comparisons

inferred← citeshttps://doi.org/10.1145/3292500.3330895openalex-snapshot

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks

inferred← citeshttps://doi.org/10.1145/3292500.3330940openalex-snapshot

Coupled Variational Recurrent Collaborative Filtering

inferred← citeshttps://doi.org/10.1145/3298689.3346996openalex-snapshot

Sampling-bias-corrected neural modeling for large corpus item recommendations

inferred← citeshttps://doi.org/10.1145/3308558.3313650openalex-snapshot

Towards Neural Mixture Recommender for Long Range Dependent User Sequences

inferred← citeshttps://doi.org/10.1145/3308558.3313714openalex-snapshot

How Do Your Neighbors Disclose Your Information: Social-Aware Time Series Imputation

inferred← citeshttps://doi.org/10.1145/3314578openalex-snapshot

Deep Item-based Collaborative Filtering for Top-N Recommendation

inferred← citeshttps://doi.org/10.1145/3331184.3331230openalex-snapshot

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction

inferred← citeshttps://doi.org/10.1145/3331184.3331254openalex-snapshot

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network

inferred← citeshttps://doi.org/10.1145/3336191.3371786openalex-snapshot

Time Interval Aware Self-Attention for Sequential Recommendation

inferred← citeshttps://doi.org/10.1145/3340531.3411935openalex-snapshot

Social Factors in Closed-Network Content Consumption

inferred← citeshttps://doi.org/10.1145/3340531.3412682openalex-snapshot

A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction

inferred← citeshttps://doi.org/10.1145/3340531.3412697openalex-snapshot

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems

inferred← citeshttps://doi.org/10.1145/3340531.3412739openalex-snapshot

Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model

inferred← citeshttps://doi.org/10.1145/3357154openalex-snapshot

Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering

inferred← citeshttps://doi.org/10.1145/3357384.3357925openalex-snapshot

AutoInt

inferred← citeshttps://doi.org/10.1145/3357384.3357942openalex-snapshot

Adaptive Feature Sampling for Recommendation with Missing Content Feature Values

inferred← citeshttps://doi.org/10.1145/3357384.3358032openalex-snapshot

NActSeer

inferred← citeshttps://doi.org/10.1145/3359285openalex-snapshot

Estimating Attention Flow in Online Video Networks

inferred← citeshttps://doi.org/10.1145/3359555.3359565openalex-snapshot

A pipelined hybrid recommender system for ranking the items on the display

inferred← citeshttps://doi.org/10.1145/3366423.3380030openalex-snapshot

Stabilizing Neural Search Ranking Models

inferred← citeshttps://doi.org/10.1145/3366423.3380046openalex-snapshot

Matching Cross Network for Learning to Rank in Personal Search

inferred← citeshttps://doi.org/10.1145/3366423.3380285openalex-snapshot

Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation

inferred← citeshttps://doi.org/10.1145/3383313.3412248openalex-snapshot

Contextual and Sequential User Embeddings for Large-Scale Music Recommendation

inferred← citeshttps://doi.org/10.1145/3383313.3412488openalex-snapshot

Neural Collaborative Filtering vs. Matrix Factorization Revisited

inferred← citeshttps://doi.org/10.1145/3394486.3403285openalex-snapshot

Attribute-based Propensity for Unbiased Learning in Recommender Systems

inferred← citeshttps://doi.org/10.1145/3394486.3403341openalex-snapshot

Improving Recommendation Quality in Google Drive

inferred← citeshttps://doi.org/10.1145/3394486.3403359openalex-snapshot

Multitask Mixture of Sequential Experts for User Activity Streams

inferred← citeshttps://doi.org/10.1145/3397271.3401078openalex-snapshot

Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation

inferred← citeshttps://doi.org/10.1145/3397271.3401082openalex-snapshot

AutoGroup

inferred← citeshttps://doi.org/10.1145/3397271.3401123openalex-snapshot

Neighbor Interaction Aware Graph Convolution Networks for Recommendation

inferred← citeshttps://doi.org/10.1145/3397271.3401219openalex-snapshot

Predicting Session Length for Product Search on E-commerce Platform

inferred← citeshttps://doi.org/10.1145/3404835.3462833openalex-snapshot

Neural Graph Matching based Collaborative Filtering

inferred← citeshttps://doi.org/10.1145/3404835.3462890openalex-snapshot

StackRec

inferred← citeshttps://doi.org/10.1145/3404835.3463240openalex-snapshot

Booking.com Multi-Destination Trips Dataset

inferred← citeshttps://doi.org/10.1145/3433210.3453075openalex-snapshot

UltraPIN: Inferring PIN Entries via Ultrasound

inferred← citeshttps://doi.org/10.1145/3437963.3441657openalex-snapshot

Personalization in Practice: Methods and Applications

inferred← citeshttps://doi.org/10.1145/3442381.3449831openalex-snapshot

Diversification-Aware Learning to Rank using Distributed Representation

inferred← citeshttps://doi.org/10.1145/3442381.3449889openalex-snapshot

Towards Content Provider Aware Recommender Systems

inferred← citeshttps://doi.org/10.1145/3442381.3449921openalex-snapshot

Highly Liquid Temporal Interaction Graph Embeddings

inferred← citeshttps://doi.org/10.1145/3442381.3450020openalex-snapshot

Dynamic Embeddings for Interaction Prediction

inferred← citeshttps://doi.org/10.1145/3442381.3450028openalex-snapshot

Where To Next? A Dynamic Model of User Preferences

inferred← citeshttps://doi.org/10.1145/3442381.3450078openalex-snapshot

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

inferred← citeshttps://doi.org/10.1145/3447548.3467099openalex-snapshot

Bootstrapping Recommendations at Chrome Web Store

inferred← citeshttps://doi.org/10.1145/3459637.3482246openalex-snapshot

DCAP

inferred← citeshttps://doi.org/10.1145/3459637.3482256openalex-snapshot

Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation

inferred← citeshttps://doi.org/10.1145/3459637.3482419openalex-snapshot

CoPE

inferred← citeshttps://doi.org/10.1145/3460231.3474255openalex-snapshot

Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation

inferred← citeshttps://doi.org/10.1145/3460231.3474266openalex-snapshot

Matrix Factorization for Collaborative Filtering Is Just Solving an Adjoint Latent Dirichlet Allocation Model After All

inferred← citeshttps://doi.org/10.1145/3460231.3474273openalex-snapshot

Negative Interactions for Improved Collaborative Filtering: Don’t go Deeper, go Higher

inferred← citeshttps://doi.org/10.1145/3465401openalex-snapshot

A Survey on Session-based Recommender Systems

inferred← citeshttps://doi.org/10.1145/3473339openalex-snapshot

Exploiting Positional Information for Session-Based Recommendation

inferred← citeshttps://doi.org/10.1145/3477495.3531969openalex-snapshot

Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation

inferred← citeshttps://doi.org/10.1145/3485447.3512113openalex-snapshot

Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors

inferred← citeshttps://doi.org/10.1145/3485447.3512117openalex-snapshot

Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data

inferred← citeshttps://doi.org/10.1145/3487075.3487141openalex-snapshot

MOOC Dropout Prediction Based on Dynamic Embedding Representation Learning

inferred← citeshttps://doi.org/10.1145/3488560.3498453openalex-snapshot

Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce

inferred← citeshttps://doi.org/10.1145/3488560.3498477openalex-snapshot

Variational User Modeling with Slow and Fast Features

inferred← citeshttps://doi.org/10.1145/3494885.3494888openalex-snapshot

Multi-interest sequence recommendation algorithm based on BERT

inferred← citeshttps://doi.org/10.1145/3503161.3548428openalex-snapshot

DVR

inferred← citeshttps://doi.org/10.1145/3511808.3557415openalex-snapshot

Beyond Learning from Next Item

inferred← citeshttps://doi.org/10.1145/3511808.3557425openalex-snapshot

Rank List Sensitivity of Recommender Systems to Interaction Perturbations

inferred← citeshttps://doi.org/10.1145/3511808.3557601openalex-snapshot

FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation

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