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A Context-Aware User-Item Representation Learning for Item Recommendation

https://doi.org/10.1145/3298988
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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/s10994-013-5363-6openalex-snapshot
A semantic matching energy function for learning with multi-relational data
inferredcites →https://doi.org/10.1109/icdm.2008.16openalex-snapshot
One-Class Collaborative Filtering
inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-snapshot
Factorization Machines
inferredcites →https://doi.org/10.1109/icdm.2012.110openalex-snapshot
Learning Attitudes and Attributes from Multi-aspect Reviews
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.1145/1273496.1273596openalex-snapshot
Restricted Boltzmann machines for collaborative filtering
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/2020408.2020480openalex-snapshot
Collaborative topic modeling for recommending scientific articles
inferredcites →https://doi.org/10.1145/2507157.2507163openalex-snapshot
Hidden factors and hidden topics
inferredcites →https://doi.org/10.1145/2645710.2645728openalex-snapshot
Ratings meet reviews, a combined approach to recommend
inferredcites →https://doi.org/10.1145/2783258.2783273openalex-snapshot
Collaborative Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/2872427.2883037openalex-snapshot
Ups and Downs
inferredcites →https://doi.org/10.1145/2911451.2911489openalex-snapshot
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
inferredcites →https://doi.org/10.1145/2959100.2959165openalex-snapshot
Convolutional Matrix Factorization for Document Context-Aware Recommendation
inferredcites →https://doi.org/10.1145/3018661.3018665openalex-snapshot
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3077136.3080797openalex-snapshot
Attentive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3097983.3098096openalex-snapshot
Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration
inferredcites →https://doi.org/10.1145/3109859.3109878openalex-snapshot
TransNets
inferredcites →https://doi.org/10.1145/3109859.3109890openalex-snapshot
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
inferredcites →https://doi.org/10.1145/3178876.3186070openalex-snapshot
Neural Attentional Rating Regression with Review-level Explanations
inferredcites →https://doi.org/10.1145/3178876.3186158openalex-snapshot
Coevolutionary Recommendation Model
inferredcites →https://doi.org/10.1145/963770.963776openalex-snapshot
Item-based top- N recommendation algorithms
inferredcites →https://doi.org/10.1155/2009/421425openalex-snapshot
A Survey of Collaborative Filtering Techniques
inferredcites →https://doi.org/10.1162/tacl_a_00097openalex-snapshot
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
inferredcites →https://doi.org/10.1609/aaai.v28i1.8715openalex-snapshot
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation
inferredcites →https://doi.org/10.18653/v1/p16-1122openalex-snapshot
Inner Attention based Recurrent Neural Networks for Answer Selection
inferredcites →https://doi.org/10.18653/v1/p17-1158openalex-snapshot
CANE: Context-Aware Network Embedding for Relation Modeling
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3115/v1/p14-1062openalex-snapshot
A Convolutional Neural Network for Modelling Sentences
inferredcites →https://doi.org/10.48550/arxiv.1103.0398openalex-snapshot
Natural Language Processing (almost) from Scratch
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.1503.03244openalex-snapshot
Convolutional Neural Network Architectures for Matching Natural Language Sentences
inferredcites →https://doi.org/10.48550/arxiv.1602.03609openalex-snapshot
Attentive Pooling Networks
inferredcites →https://doi.org/10.5555/1756006.1953039openalex-snapshot
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
inferredcites →https://doi.org/10.5555/1953048.2078186openalex-snapshot
Natural Language Processing (Almost) from Scratch
inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot
Latent dirichlet allocation

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.4978359openalex-extracted
A Heterogeneous Collaborative Learning Approach for Game Recommendation Systems
inferred← citeshttps://doi.org/10.1002/9781119711582.ch2openalex-snapshot
A Brief Model Overview of Personalized Recommendation to Citizens in the Health‐Care Industry
inferred← citeshttps://doi.org/10.1007/978-3-030-59416-9_2openalex-snapshot
MRMRP: Multi-source Review-Based Model for Rating Prediction
inferred← citeshttps://doi.org/10.1007/978-3-030-62460-6_26openalex-snapshot
A Survey of Researches on Personalized Bundle Recommendation Techniques
inferred← citeshttps://doi.org/10.1007/978-3-030-73200-4_1openalex-snapshot
Gated Sequential Recommendation System with Social and Textual Information Under Dynamic Contexts
inferred← citeshttps://doi.org/10.1007/978-3-030-88480-2_52openalex-snapshot
Aggregating Inter-viewpoint Relationships of User’s Review for Accurate Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-031-20309-1_47openalex-snapshot
Sentiment-Aware Neural Recommendation with Opinion-Based Explanations
inferred← citeshttps://doi.org/10.1007/978-3-031-20868-3_4openalex-snapshot
Pattern Matching and Information-Aware Between Reviews and Ratings for Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-032-06106-5_1openalex-snapshot
Counterfactual Multi-player Bandits for Explainable Recommendation Diversification
inferred← citeshttps://doi.org/10.1007/978-3-032-09321-9_7openalex-snapshot
Self-attention Based Sequential Recommendation Systems Improved with Reviews Topic Modeling in e-Commerce Transactions
inferred← citeshttps://doi.org/10.1007/978-981-95-1581-3_1openalex-snapshot
MGAR: A Multi-grained Attention Review-Based Recommendation System
inferred← citeshttps://doi.org/10.1007/978-981-95-7251-9_8openalex-snapshot
LSA: A Long-Short-Term Aspect Interest Transformer for Aspect-Based Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-97-2262-4_9openalex-snapshot
Collaborative Filtering in Latent Space: A Bayesian Approach for Cold-Start Music Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-97-5489-2_23openalex-snapshot
Diffusion Review-Based Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-99-8067-3_32openalex-snapshot
Contrastive Hierarchical Gating Networks for Rating Prediction
inferred← citeshttps://doi.org/10.1007/s00521-022-07689-1openalex-snapshot
Knowledge-aware attentional neural network for review-based movie recommendation with explanations
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/s10115-020-01528-2openalex-snapshot
A hybrid neural network approach to combine textual information and rating information for item recommendation
inferred← citeshttps://doi.org/10.1007/s10462-020-09892-9openalex-snapshot
Deep learning techniques for rating prediction: a survey of the state-of-the-art
inferred← citeshttps://doi.org/10.1007/s10489-021-02666-yopenalex-snapshot
A multi-task dual attention deep recommendation model using ratings and review helpfulness
inferred← citeshttps://doi.org/10.1007/s10489-021-03027-5openalex-snapshot
Non-dominated differential context modeling for context-aware recommendations
inferred← citeshttps://doi.org/10.1007/s10489-022-04135-6openalex-snapshot
MAN: Main-auxiliary network with attentive interactions for review-based recommendation
inferred← citeshttps://doi.org/10.1007/s10489-025-06446-wopenalex-snapshot
HKGAT: heterogeneous knowledge graph attention network for explainable recommendation system
inferred← citeshttps://doi.org/10.1007/s10844-024-00888-3openalex-snapshot
Graph attention networks with adaptive neighbor graph aggregation for cold-start recommendation
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/s11257-024-09398-xopenalex-snapshot
Understanding user intent modeling for conversational recommender systems: a systematic literature review
inferred← citeshttps://doi.org/10.1007/s11704-022-1437-6openalex-snapshot
Joint user profiling with hierarchical attention networks
inferred← citeshttps://doi.org/10.1007/s12065-020-00409-5openalex-snapshot
Neural multi-task collaborative filtering
inferred← citeshttps://doi.org/10.1007/s12652-021-03626-7openalex-snapshot
Integrating reviews and ratings into graph neural networks for rating prediction
inferred← citeshttps://doi.org/10.1007/s13042-023-01821-wopenalex-snapshot
Recommendation model based on multi-grained interaction that fuses users’ dynamic interests
inferred← citeshttps://doi.org/10.1007/s13042-023-01850-5openalex-snapshot
An interpretable neural network TV program recommendation based on SHAP
inferred← citeshttps://doi.org/10.1007/s13369-024-09361-3openalex-snapshot
Rating Distribution-Aware Deep Cognitive Convolution Matrix Factorization for Recommendation Systems
inferred← citeshttps://doi.org/10.1007/s13735-024-00349-1openalex-snapshot
Recent trends in recommender systems: a survey
inferred← citeshttps://doi.org/10.1007/s40031-024-01064-5openalex-snapshot
A Comprehensive Multi-modal Approach for Enhanced Product Recommendations Based on Customer Habits
inferred← citeshttps://doi.org/10.1016/j.aej.2024.05.025openalex-snapshot
CAML: A Context-Aware Metric Learning approach for improved recommender systems
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109160openalex-snapshot
A deep selective learning network for cross-domain recommendation
inferred← citeshttps://doi.org/10.1016/j.bdr.2023.100382openalex-snapshot
Task-Oriented Collaborative Graph Embedding Using Explicit High-Order Proximity for Recommendation
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110300openalex-snapshot
Cross-domain recommender systems via multimodal domain adaptation
inferred← citeshttps://doi.org/10.1016/j.cosrev.2024.100646openalex-snapshot
Deep learning with the generative models for recommender systems: A survey
inferred← citeshttps://doi.org/10.1016/j.datak.2024.102283openalex-snapshot
Fusion learning of preference and bias from ratings and reviews for item recommendation
inferred← citeshttps://doi.org/10.1016/j.dcan.2021.11.006openalex-snapshot
Safeguarding cross-silo federated learning with local differential privacy
inferred← citeshttps://doi.org/10.1016/j.dss.2023.114062openalex-snapshot
Cognitive process-driven model design: A deep learning recommendation model with textual review and context
inferred← citeshttps://doi.org/10.1016/j.dss.2025.114454openalex-snapshot
Augmenting micro-moment recommendations with group and serendipity perspectives
inferred← citeshttps://doi.org/10.1016/j.ejor.2024.01.042openalex-snapshot
Review-based recommendation under preference uncertainty: An asymmetric deep learning framework
inferred← citeshttps://doi.org/10.1016/j.engappai.2020.104066openalex-snapshot
A Deep Hybrid Model for Recommendation by jointly leveraging ratings, reviews and metadata information
inferred← citeshttps://doi.org/10.1016/j.engappai.2021.104348openalex-snapshot
Improving current interest with item and review sequential patterns for sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.entcom.2024.100920openalex-snapshot
Design and evaluation of an English speaking recommender system using word networks and context-aware techniques
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115752openalex-snapshot
Shared-view and specific-view information extraction for recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.116717openalex-snapshot
AENAR: An aspect-aware explainable neural attentional recommender model for rating predication
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117317openalex-snapshot
Learning persona-driven personalized sentimental representation for review-based recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118506openalex-snapshot
Comment recommendation based on graph bidirectional aggregation networks
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118926openalex-snapshot
REDRL: A review-enhanced Deep Reinforcement Learning model for interactive recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.121120openalex-snapshot
Exploiting deep transformer models in textual review based recommender systems
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123341openalex-snapshot
Multi-level cross-modal contrastive learning for review-aware recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125587openalex-snapshot
Conditional Potential User Mining framework via explainable surrogate models
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125988openalex-snapshot
csKT: Addressing cold-start problem in knowledge tracing via kernel bias and cone attention
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.129707openalex-snapshot
Talk with graph: A fuzzy sentiment-aware framework for explainable recommendation
inferred← citeshttps://doi.org/10.1016/j.ijcce.2020.11.002openalex-snapshot
A multi-attention deep neural network model base on embedding and matrix factorization for recommendation
inferred← citeshttps://doi.org/10.1016/j.ins.2021.03.034openalex-snapshot
TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103631openalex-snapshot
Joint inter-word and inter-sentence multi-relation modeling for summary-based recommender system
inferred← citeshttps://doi.org/10.1016/j.jss.2022.111290openalex-snapshot
Service composition in dynamic environments: A systematic review and future directions
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106344openalex-snapshot
Hierarchical text interaction for rating prediction
inferred← citeshttps://doi.org/10.1016/j.knosys.2020.106687openalex-snapshot
Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107015openalex-snapshot
Enhanced review-based rating prediction by exploiting aside information and user influence
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.108954openalex-snapshot
A survey for trust-aware recommender systems: A deep learning perspective
inferred← citeshttps://doi.org/10.1016/j.knosys.2022.109158openalex-snapshot
A knowledge-enhanced contextual bandit approach for personalized recommendation in dynamic domains
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110438openalex-snapshot
Enhancing review-based user representation on learned social graph for recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114779openalex-snapshot
Predicting user behavior on video streaming by using watch-time duration analysis
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.10.041openalex-snapshot
Attentive preference personalized recommendation with sentence-level explanations
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.12.043openalex-snapshot
Multi-level attentive deep user-item representation learning for recommendation system
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.03.122openalex-snapshot
CARM: Confidence-aware recommender model via review representation learning and historical rating behavior in the online platforms
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.109585openalex-snapshot
Position-aware attentional neural network for review-based recommendation
inferred← citeshttps://doi.org/10.1016/j.patrec.2022.05.004openalex-snapshot
CE-text: A context-Aware and embedded text detector in natural scene images
inferred← citeshttps://doi.org/10.1016/j.procs.2021.08.084openalex-snapshot
Arabic Text Documents Recommendation Using Joint Deep Representations Learning
inferred← citeshttps://doi.org/10.1093/comjnl/bxab025openalex-snapshot
A Federated Learning Approach for Privacy Protection in Context-Aware Recommender Systems
inferred← citeshttps://doi.org/10.1109/access.2019.2913947openalex-snapshot
A Hybrid Approach to Service Recommendation Based on Network Representation Learning
inferred← citeshttps://doi.org/10.1109/access.2020.2978272openalex-snapshot
Visual and Textual Jointly Enhanced Interpretable Fashion Recommendation
inferred← citeshttps://doi.org/10.1109/access.2020.2993063openalex-snapshot
Context-Aware User and Item Representations Based on Unsupervised Context Extraction From Reviews
inferred← citeshttps://doi.org/10.1109/access.2024.3489658openalex-snapshot
A Comparative Study of Sentiment-Aware Collaborative Filtering Algorithms for Arabic Recommendation Systems
inferred← citeshttps://doi.org/10.1109/access.2025.3530431openalex-snapshot
Research on Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features
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/cisp-bmei51763.2020.9263556openalex-snapshot
Deep Group Recommender System Model Based on User Trust
inferred← citeshttps://doi.org/10.1109/csci54926.2021.00298openalex-snapshot
A Review on Multiple Data Source Based Recommendation Systems
inferred← citeshttps://doi.org/10.1109/globecom46510.2021.9685227openalex-snapshot
Semantic Analysis and Preference Capturing on Attentive Networks for Rating Prediction
inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00307openalex-snapshot
Personalized Review Recommendation without User Interactive Data
inferred← citeshttps://doi.org/10.1109/iaecst54258.2021.9695561openalex-snapshot
Dual Attention Modeling between Users and Items Using Review for Recommendation
inferred← citeshttps://doi.org/10.1109/iccc56324.2022.10065875openalex-snapshot
Combining Interpretability and Filtering Algorithm for Sequence Recommendation
inferred← citeshttps://doi.org/10.1109/iccci50826.2021.9402621openalex-snapshot
Neural Network Model for Recommending Music Based on Music Genres
inferred← citeshttps://doi.org/10.1109/icde55515.2023.00180openalex-snapshot
Disentangled Graph Social Recommendation
inferred← citeshttps://doi.org/10.1109/icde65448.2025.00078openalex-snapshot
Path-Based Summary Explanations for Graph Recommenders
inferred← citeshttps://doi.org/10.1109/iceict57916.2023.10244945openalex-snapshot
Mobile Game Recommendation Based on Clustering Reliable Reviews
inferred← citeshttps://doi.org/10.1109/icft66708.2025.11336561openalex-snapshot
Reviews and Ratings-Based Recommender System to Alleviate Single and Cross-Domain Data Sparsity
inferred← citeshttps://doi.org/10.1109/icist52614.2021.9440598openalex-snapshot
Mutual Attention Graph Neural Network Based on Joint Representation of Nodes and Reviews for Recommendation
inferred← citeshttps://doi.org/10.1109/icitisee57756.2022.10057940openalex-snapshot
Context-Aware Recommendation System Survey: Recommendation When Adding Contextual Information
inferred← citeshttps://doi.org/10.1109/icws60048.2023.00057openalex-snapshot
Context-aware Inductive Graph Matrix Completion with Sentence BERT
inferred← citeshttps://doi.org/10.1109/iist62526.2024.00133openalex-snapshot
Design and Implementation of Intelligent Recommendation System for Professional Growth Path of English Teachers in Higher Vocational Colleges Under the Background of "Double High"
inferred← citeshttps://doi.org/10.1109/isaect50560.2020.9523708openalex-snapshot
Evaluating Recommender Systems when Applied to Arabic Content
inferred← citeshttps://doi.org/10.1109/itoec49072.2020.9141628openalex-snapshot
Deep Learning based Recommedation System: A Review of Recent Works
inferred← citeshttps://doi.org/10.1109/jiot.2023.3329363openalex-snapshot
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems
inferred← citeshttps://doi.org/10.1109/mis.2020.3005928openalex-snapshot
HIGnet: Hierarchical and Interactive Gate Networks for Item Recommendation
inferred← citeshttps://doi.org/10.1109/saner48275.2020.9054830openalex-snapshot
A Code-Description Representation Learning Model Based on Attention
inferred← citeshttps://doi.org/10.1109/smartworld.2018.00230openalex-snapshot
Personalized App Recommendation Based on Hierarchical Embedding
inferred← citeshttps://doi.org/10.1109/tai.2021.3077831openalex-snapshot
Aspect-Based Capsule Network With Mutual Attention for Recommendations
inferred← citeshttps://doi.org/10.1109/tcss.2022.3181065openalex-snapshot
Recommendation Model Based on Enhanced Graph Convolution That Fuses Review Properties
inferred← citeshttps://doi.org/10.1109/tii.2021.3128240openalex-snapshot
EDMF: Efficient Deep Matrix Factorization With Review Feature Learning for Industrial Recommender System
inferred← citeshttps://doi.org/10.1109/tits.2021.3062072openalex-snapshot
Traffic Signal Control With Reinforcement Learning Based on Region-Aware Cooperative Strategy
inferred← citeshttps://doi.org/10.1109/tkde.2020.3010949openalex-snapshot
Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2021.3075052openalex-snapshot
Learning Hierarchical Review Graph Representations for Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2022.3146178openalex-snapshot
Joint Reason Generation and Rating Prediction for Explainable Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2022.3221847openalex-snapshot
Aspect-guided Syntax Graph Learning for Explainable Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2023.3239169openalex-snapshot
Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network
inferred← citeshttps://doi.org/10.1109/tkde.2023.3301884openalex-snapshot
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction
inferred← citeshttps://doi.org/10.1109/tkde.2024.3438238openalex-snapshot
Adversarial Attack and Defense on Discrete Time Dynamic Graphs
inferred← citeshttps://doi.org/10.1109/tkde.2025.3613366openalex-snapshot
Cross-Task Collaborative Meta-Learning for Cold-Start Recommendations
inferred← citeshttps://doi.org/10.1109/tpami.2025.3563663openalex-snapshot
Prompt-Based Multi-Interest Learning Method for Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/wi-iat55865.2022.00115openalex-snapshot
A Survey of Explainable E-Commerce Recommender Systems
inferred← citeshttps://doi.org/10.1117/12.2636389openalex-snapshot
Bilateral personalized attention recommendation algorithm for user data based on neural network
inferred← citeshttps://doi.org/10.1117/12.3034770openalex-snapshot
D2PDRF: A differential privacy recommendation algorithm based on federated learning
inferred← citeshttps://doi.org/10.1145/3269206.3271695openalex-snapshot
PARL
inferred← citeshttps://doi.org/10.1145/3292500.3330906openalex-snapshot
DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation
inferred← citeshttps://doi.org/10.1145/3357154openalex-snapshot
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3372338openalex-snapshot
Improving Implicit Recommender Systems with Auxiliary Data
inferred← citeshttps://doi.org/10.1145/3397271.3401169openalex-snapshot
CATN
inferred← citeshttps://doi.org/10.1145/3423322openalex-snapshot
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network
inferred← citeshttps://doi.org/10.1145/3432049openalex-snapshot
Multilingual Review-aware Deep Recommender System via Aspect-based Sentiment Analysis
inferred← citeshttps://doi.org/10.1145/3442381.3450109openalex-snapshot
A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps
inferred← citeshttps://doi.org/10.1145/3446341openalex-snapshot
Toward Comprehensive User and Item Representations via Three-tier Attention Network
inferred← citeshttps://doi.org/10.1145/3477495.3531927openalex-snapshot
A Review-aware Graph Contrastive Learning Framework for Recommendation
inferred← citeshttps://doi.org/10.1145/3478284openalex-snapshot
Hyperspherical Variational Co-embedding for Attributed Networks
inferred← citeshttps://doi.org/10.1145/3483611openalex-snapshot
An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation
inferred← citeshttps://doi.org/10.1145/3487047openalex-snapshot
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction
inferred← citeshttps://doi.org/10.1145/3490477openalex-snapshot
Feature-Level Attentive ICF for Recommendation
inferred← citeshttps://doi.org/10.1145/3511020openalex-snapshot
Interaction-aware Drug Package Recommendation via Policy Gradient
inferred← citeshttps://doi.org/10.1145/3539618.3591720openalex-snapshot
M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation
inferred← citeshttps://doi.org/10.1145/3539618.3591775openalex-snapshot
Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs
inferred← citeshttps://doi.org/10.1145/3539618.3592053openalex-snapshot
Review-based Multi-intention Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1145/3560487openalex-snapshot
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network
inferred← citeshttps://doi.org/10.1145/3565798openalex-snapshot
Dual Preference Distribution Learning for Item Recommendation
inferred← citeshttps://doi.org/10.1145/3568199.3568223openalex-snapshot
Multi-modal Personalized Goods Recommendation based on Graph Enhanced Attention GNN
inferred← citeshttps://doi.org/10.1145/3569586openalex-snapshot
A Personalized Interaction Mechanism Framework for Micro-moment Recommender Systems
inferred← citeshttps://doi.org/10.1145/3570500openalex-snapshot
Modeling User Reviews through Bayesian Graph Attention Networks for Recommendation
inferred← citeshttps://doi.org/10.1145/3583780.3614770openalex-snapshot
A Two-tier Shared Embedding Method for Review-based Recommender Systems
inferred← citeshttps://doi.org/10.1145/3593022openalex-snapshot
Causal Disentangled Recommendation against User Preference Shifts
inferred← citeshttps://doi.org/10.1145/3604558openalex-snapshot
Fairness in Recommender Systems: Evaluation Approaches and Assurance Strategies
inferred← citeshttps://doi.org/10.1145/3617023.3617050openalex-snapshot
A Survey on Review - Aware Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3624288.3624299openalex-snapshot
Persuasive-oriented Explanation Generation and Evaluation of Personalized Recommendation
inferred← citeshttps://doi.org/10.1145/3638065openalex-snapshot
Mining User–Item Interactions via Knowledge Graph for Recommendation
inferred← citeshttps://doi.org/10.1145/3639479.3639501openalex-snapshot
Interpretable Recommendation Based on Review Aspect-Level Preferences
inferred← citeshttps://doi.org/10.1145/3640457.3688028openalex-snapshot
Explainability in Music Recommender System
inferred← citeshttps://doi.org/10.1145/3653673openalex-snapshot
Beyond Relevance: Factor-level Causal Explanation for User Travel Decisions with Counterfactual Data Augmentation
inferred← citeshttps://doi.org/10.1145/3663483openalex-snapshot
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution
inferred← citeshttps://doi.org/10.1145/3673233openalex-snapshot
Explaining Neural News Recommendation with Attributions onto Reading Histories
inferred← citeshttps://doi.org/10.1145/3673234openalex-snapshot
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning
inferred← citeshttps://doi.org/10.1145/3701551.3703528openalex-snapshot
An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation
inferred← citeshttps://doi.org/10.1145/3701551.3703530openalex-snapshot
A Contrastive Framework with User, Item and Review Alignment for Recommendation
inferred← citeshttps://doi.org/10.1145/3705328.3748062openalex-snapshot
A Multi-Factor Collaborative Prediction for Review-based Recommendation
inferred← citeshttps://doi.org/10.1145/3742421openalex-snapshot
Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
inferred← citeshttps://doi.org/10.1145/3744661openalex-snapshot
Review-Aware Recommender Systems (RARSs): Recent Advances, Experimental Comparative Analysis, Discussions, and New Directions
inferred← citeshttps://doi.org/10.1145/3746282openalex-snapshot
HGDNet: De-Noised Review-Based Rating Prediction Using Hierarchical Gating and Discriminative Networks
inferred← citeshttps://doi.org/10.1145/3757738openalex-snapshot
Breaking the Loop: Causal Learning to Mitigate Echo Chambers in Social Networks
inferred← citeshttps://doi.org/10.1145/3771276openalex-snapshot
Beyond Texts: Incorporating Co-occurrences into the Review-based Conversation Recommendation Systems
inferred← citeshttps://doi.org/10.1145/3805712.3809551openalex-snapshot
DIAURec: Dual-Intent Space Representation Optimization for Recommendation
inferred← citeshttps://doi.org/10.1145/3834863openalex-snapshot
Enhancing Review-Augmented Contrastive Recommendation with LLM-based Generation
inferred← citeshttps://doi.org/10.1155/2020/1401236openalex-snapshot
Learning to Make Document Context-Aware Recommendation with Joint Convolutional Matrix Factorization
inferred← citeshttps://doi.org/10.1155/2020/4780191openalex-snapshot
DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation
inferred← citeshttps://doi.org/10.1155/2021/6693730openalex-snapshot
An End-to-End Review-Based Aspect-Level Neural Model for Sequential Recommendation
inferred← citeshttps://doi.org/10.1155/2022/1860946openalex-snapshot
Intelligent Roller Bearing Fault Diagnosis in Industrial Internet of Things
inferred← citeshttps://doi.org/10.1155/2022/2419987openalex-snapshot
Personality Privacy Protection Method of Social Users Based on Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1155/2022/4037053openalex-snapshot
Data‐Driven Approach for the Short‐Term Business Climate Forecasting Based on Power Consumption
inferred← citeshttps://doi.org/10.1155/2022/4748858openalex-snapshot
S2NMF: Information Self‐Enhancement Self‐Supervised Nonnegative Matrix Factorization for Recommendation
inferred← citeshttps://doi.org/10.1155/2022/5827056openalex-snapshot
A GRU-Based Lightweight System for CAN Intrusion Detection in Real Time
inferred← citeshttps://doi.org/10.1155/2022/9964513openalex-snapshot
Research on University Information Management Based on Nonlinear Matrix Organizational Structure
inferred← citeshttps://doi.org/10.1155/acis/1951982openalex-snapshot
A Deep Learning Framework for Enhancing Recommender Systems With Dual‐Feedback Integration
inferred← citeshttps://doi.org/10.1186/s13638-022-02181-9openalex-snapshot
Dynamic visual SLAM and MEC technologies for B5G: a comprehensive review
inferred← citeshttps://doi.org/10.1186/s40537-021-00420-2openalex-snapshot
Evaluation of recent advances in recommender systems on Arabic content
inferred← citeshttps://doi.org/10.1186/s40537-023-00707-6openalex-snapshot
RTiSR: a review-driven time interval-aware sequential recommendation method
inferred← citeshttps://doi.org/10.12677/mos.2024.133222openalex-snapshot
Multi-Granularity Attention Mechanism for Recommendation Systems Based on Item Descriptions and Reviews
inferred← citeshttps://doi.org/10.12794/metadc2048609openalex-snapshot
Personalized Recommendation Using Aspect-Aware Knowledge Graph Learning
inferred← citeshttps://doi.org/10.1287/ijoc.2023.0131openalex-snapshot
From Interaction to Prediction: A Multi-Interactive Attention-Based Approach to Product Rating Prediction
inferred← citeshttps://doi.org/10.1371/journal.pone.0274940openalex-snapshot
Deep learning recommendation algorithm based on semantic mining
inferred← citeshttps://doi.org/10.1371/journal.pone.0299370openalex-snapshot
Multimodal representation learning for tourism recommendation with two-tower architecture
inferred← citeshttps://doi.org/10.1371/journal.pone.0313928openalex-snapshot
ICRA: A study of highly accurate course recommendation models incorporating false review filtering and ERNIE 3.0
inferred← citeshttps://doi.org/10.14569/ijacsa.2021.0120876openalex-snapshot
ExMrec2vec: Explainable Movie Recommender System based on Word2vec
inferred← citeshttps://doi.org/10.1561/9781680836592openalex-snapshot
Explainable Recommendation: A Survey and New Perspectives
inferred← citeshttps://doi.org/10.1609/aaai.v33i01.330153openalex-snapshot
Dynamic Explainable Recommendation Based on Neural Attentive Models
inferred← citeshttps://doi.org/10.1609/icwsm.v17i1.22128openalex-snapshot
RTANet: Recommendation Target-Aware Network Embedding
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2462656/v1openalex-snapshot
Hierarchical Gated Sentiment-aware Rating Prediction
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3238230/v1openalex-snapshot
Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review
inferred← citeshttps://doi.org/10.2139/ssrn.6502552openalex-snapshot
DGCL-Fusion: Dual-Graph Contrastive Learning with Global Fusion Attention for Higher-Order Information Enhanced Sparse Recommendations
inferred← citeshttps://doi.org/10.2200/s01063ed1v01y202012aim048openalex-snapshot
Network Embedding: Theories, Methods, and Applications
inferred← citeshttps://doi.org/10.22214/ijraset.2021.37024openalex-snapshot
Product Recommendation System: A Systematic Literature Review
inferred← citeshttps://doi.org/10.2298/csis210228064sopenalex-snapshot
Enhancing interactive graph representation learning for review-based item recommendation
inferred← citeshttps://doi.org/10.23977/autml.2023.040210openalex-snapshot
A Collaborative Filtering Algorithm Based on Sentiment Analysis in Review Texts
inferred← citeshttps://doi.org/10.24963/ijcai.2019/293openalex-snapshot
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks
inferred← citeshttps://doi.org/10.24963/ijcai.2019/397openalex-snapshot
A Review-Driven Neural Model for Sequential Recommendation
inferred← citeshttps://doi.org/10.24963/ijcai.2020/373openalex-snapshot
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability
inferred← citeshttps://doi.org/10.28991/esj-2023-07-01-01openalex-snapshot
A Comparative Study of Collaborative Filtering in Product Recommendation
inferred← citeshttps://doi.org/10.3233/faia210175openalex-snapshot
Interpretable Dual-Feature Recommender System Using Reviews1
inferred← citeshttps://doi.org/10.3233/ida-230128openalex-snapshot
Asymmetric multilevel interactive attention network integrating reviews for item recommendation
inferred← citeshttps://doi.org/10.32604/csse.2023.025897openalex-snapshot
A Deep Learning Based Approach for Context-Aware Multi-Criteria Recommender Systems
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