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Proceedings of the 10th ACM Conference on Recommender Systems

https://doi.org/10.1145/2959100
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Bayesian feature interaction selection for factorization machines
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Interact2Vec — An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems
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A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures
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Vector database management systems: Fundamental concepts, use-cases, and current challenges
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Latest trends of security and privacy in recommender systems: A comprehensive review and future perspectives
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Context Aware Recommendation Systems: A review of the state of the art techniques
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Model-driven approach running route two-level SVD with context information and feature entities in recommender system
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Computational model for generating interactions in conversational recommender system based on product functional requirements
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Similarity matrix enhanced collaborative filtering for e-government recommendation
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FedCDR: Privacy-preserving federated cross-domain recommendation
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How are companies going to business digitalization? An explanation based on the implementation of e-commerce with data of SMEs
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Understanding and overcoming biases in online review systems
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Conversational Recommender Systems and natural language:
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Neighbor-aware review helpfulness prediction
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Social trust and algorithmic equity: The societal perspectives of users' intention to interact with algorithm recommendation systems
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Delegation of purchasing tasks to AI: The role of perceived choice and decision autonomy
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Session context data integration to address the cold start problem in e-commerce recommender systems
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Multimodal review helpfulness prediction with a multi-level cognitive reasoning mechanism: A theory-driven graph learning model
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Online recommendation based on incremental-input self-organizing map
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Incorporating textual reviews in the learning of latent factors for recommender systems
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Leveraging attribute latent features for addressing new item cold-start issue
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ImprovedGCN: An efficient and accurate recommendation system employing lightweight graph convolutional networks in social media
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Purpose tendency-aware diversified strategy for effective session-based recommendation
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Contrastive learning with adversarial masking for sequential recommendation
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Fraud detection at eBay
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Electricity price prediction based on hybrid model of adam optimized LSTM neural network and wavelet transform
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Collaborative filtering embeddings for memory-based recommender systems
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A Deep Hybrid Model for Recommendation by jointly leveraging ratings, reviews and metadata information
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Improving current interest with item and review sequential patterns for sequential recommendation
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An anatomization of research paper recommender system: Overview, approaches and challenges
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Semantic similarity for mobile application recommendation under scarce user data
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GFML: Gravity function for metric learning
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A hybrid probabilistic battery health management approach for robust inspection drone operations
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VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network
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GIST: A generative model with individual and subgroup-based topics for group recommendation
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Entity representation for pairwise collaborative ranking using restricted Boltzmann machine
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Multi-modal matrix factorization with side information for recommending massive open online courses
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Convolutional long short term memory deep neural networks for image sequence prediction
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Graph-based context-aware collaborative filtering
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The recommender canvas: A model for developing and documenting recommender system design
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Multi-objective item evaluation for diverse as well as novel item recommendations
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A review: Knowledge reasoning over knowledge graph
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entity2rec: Property-specific knowledge graph embeddings for item recommendation
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Seq2Seq models for recommending short text conversations
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Attention-based deep neural network for Internet platform group users’ dynamic identification and recommendation
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LsRec: Large-scale social recommendation with online update
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SDT: An integrated model for open-world knowledge graph reasoning
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Effective and diverse POI recommendations through complementary diversification models
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A hybrid neural variational CF-NADE for collaborative filtering using abstraction and generation
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How to select and weight context dimensions conditions for context-aware recommendation?
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Shared-view and specific-view information extraction for recommendation
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Semantic and explainable research-related recommendation system based on semi-supervised methodology using BERT and LDA models
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A novel constrained non-negative matrix factorization method based on users and items pairwise relationship for recommender systems
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Multi-Armed Bandits in Recommendation Systems: A survey of the state-of-the-art and future directions
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GHRS: Graph-based hybrid recommendation system with application to movie recommendation
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Point-of-interest recommendation model considering strength of user relationship for location-based social networks
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Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging
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Fast weighted CP decomposition for context-aware recommendation with explicit and implicit feedback
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Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive survey
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An embedding and interactions learning approach for ID feature in deep recommender system
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Comment recommendation based on graph bidirectional aggregation networks
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GANRec: A negative sampling model with generative adversarial network for recommendation
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NEFM: Neural embedding based factorization machines for user response prediction
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A systematic review of value-aware recommender systems
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I am all EARS: Using open data and knowledge graph embeddings for music recommendations
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Computing recommendations from free-form text
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HyNCF: A hybrid normalization strategy via feature statistics for collaborative filtering
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T3SRS: Tensor Train Transformer for compressing sequential recommender systems
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DADIN: Domain Adversarial Deep Interest Network for cross domain recommender systems
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A review of recommender systems based on knowledge graph embedding
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A real-time energy and cost efficient vehicle route assignment neural recommender system
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A comparative study of physics-informed and conventional neural networks for predicting on-screen gaze points from eye-tracking data
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City-level population prediction in Japan from 2020 to 2100 by machine learning
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KGDR-EGs: Knowledge graph enhanced deep recommendation method for E-government services
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Cross-domain recommendation via interest-aware pseudo-overlapping user alignment
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A diffusion multi-interest framework for cross-domain recommendation
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Content suppression mechanisms-based recommendation systems
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Using external knowledge to enhance user preferences for better sequential recommendation
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Dual-state feature importance perception and adaptive interaction importance modeling for CTR prediction
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MLoRA+: Transformer-fusion mixture-of-LoRA network for multi-domain click-through rate prediction
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Trust in recommender systems: A survey
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Recommender Systems for Large-Scale Social Networks: A review of challenges and solutions
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GLR: A graph-based latent representation model for successive POI recommendation
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Secure Cloud-Edge Deployments, with Trust
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Follow me Robot-Mind: Cloud brain based personalized robot service with migration
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A location-based orientation-aware recommender system using IoT smart devices and Social Networks
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REHAB-C: Recommendations for Energy HABits Change
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Resource allocation and scheduling in the intelligent edge computing context
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Byte embeddings for file fragment classification
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An exploratory factor model for ordinal paired comparison indicators
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Real-time social recommendation based on graph embedding and temporal context
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Linked open data-based explanations for transparent recommender systems
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The users’ perspective on the privacy-utility trade-offs in health recommender systems
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IntersectionExplorer, a multi-perspective approach for exploring recommendations
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Engineering issues related to the development of a recommender system in a critical context: Application to interactive cockpits
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Advances in computer-human interaction for recommender systems (AdCHIReS)
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Measuring the impact of online personalisation: Past, present and future
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Family’s health: Opportunities for non-collocated intergenerational families collaboration on healthy living
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A comparative study of item space visualizations for recommender systems
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Multi-semantic and multi-behavior recommendation with graph attention networks
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Price-aware matrix factorization model for personalized recommendations
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Understanding users’ AI manipulation intention: An empirical investigation of the antecedents in the context of AI recommendation algorithms
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Adaptive knowledge-augmented multi-domain recommendation with large language models
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Is deep learning better than traditional approaches in tag recommendation for software information sites?
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Reducing efforts of software engineering systematic literature reviews updates using text classification
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Learning to context-aware recommend with hierarchical factorization machines
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Deep hybrid recommender systems via exploiting document context and statistics of items
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Finding potential lenders in P2P lending: A Hybrid Random Walk Approach
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Multi-role event organization in social networks
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DeepRec: A deep neural network approach to recommendation with item embedding and weighted loss function
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GPS: Factorized group preference-based similarity models for sparse sequential recommendation
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Towards a more reliable privacy-preserving recommender system
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Deep Latent Factor Model with Hierarchical Similarity Measure for recommender systems
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Slanderous user detection with modified recurrent neural networks in recommender system
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Sparse online collaborative filtering with dynamic regularization
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Applying landmarks to enhance memory-based collaborative filtering
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Recommending investors for new startups by integrating network diffusion and investors’ domain preference
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Modeling hierarchical category transition for next POI recommendation with uncertain check-ins
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A novel hybrid deep recommendation system to differentiate user’s preference and item’s attractiveness
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Towards explainable personalized recommendations by learning from users’ photos
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DKEN: Deep knowledge-enhanced network for recommender systems
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Exploiting relational tag expansion for dynamic user profile in a tag-aware ranking recommender system
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Fuzzy factorization machine
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Two-step hybrid collaborative filtering using deep variational Bayesian autoencoders
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IR-Rec: An interpretive rules-guided recommendation over knowledge graph
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TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network
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UDA: A user-difference attention for group recommendation
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GLIMG: Global and local item graphs for top-N recommender systems
inferred← citeshttps://doi.org/10.1016/j.ins.2022.01.050openalex-snapshot
A differentially private nonnegative matrix factorization for recommender system
inferred← citeshttps://doi.org/10.1016/j.ins.2022.03.038openalex-snapshot
Attention-based BiLSTM models for personality recognition from user-generated content
inferred← citeshttps://doi.org/10.1016/j.ins.2022.04.050openalex-snapshot
DRIN: Deep Recurrent Interaction Network for click-through rate prediction
inferred← citeshttps://doi.org/10.1016/j.ins.2022.06.084openalex-snapshot
BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.ins.2023.01.051openalex-snapshot
Hybrid recommendation by incorporating the sentiment of product reviews
inferred← citeshttps://doi.org/10.1016/j.ins.2023.01.101openalex-snapshot
MbSRS: A multi-behavior streaming recommender system
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119260openalex-snapshot
Handling constrained many-objective optimization problems via determinantal point processes
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119916openalex-snapshot
Sequence recommendation using multi-level self-attention network with gated spiking neural P systems
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120362openalex-snapshot
MAInt: A multi-task learning model with automatic feature interaction learning for personalized recommendations
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121131openalex-snapshot
Incorporating recklessness to collaborative filtering based recommender systems
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121337openalex-snapshot
CF-MGAN: Collaborative filtering with metadata-aware generative adversarial networks for top-N recommendation
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122565openalex-snapshot
Differentially private recommendation algorithm based on diffusion model and Rényi similarity
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122653openalex-snapshot
Social recommendation based on reputation and trust
inferred← citeshttps://doi.org/10.1016/j.ipm.2017.01.001openalex-snapshot
A dual-perspective latent factor model for group-aware social event recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2018.03.006openalex-snapshot
Understanding crowdsourcing projects: A systematic review of tendencies, workflow, and quality management
inferred← citeshttps://doi.org/10.1016/j.ipm.2019.05.012openalex-snapshot
Eating healthier: Exploring nutrition information for healthier recipe recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102251openalex-snapshot
Location recommendation by combining geographical, categorical, and social preferences with location popularity
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102485openalex-snapshot
A deep learning-based multi-turn conversation modeling for diagnostic Q&A document recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102858openalex-snapshot
Leveraging social influence based on users activity centers for point-of-interest recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.102936openalex-snapshot
Dynamic intent-aware iterative denoising network for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103519openalex-snapshot
MC-RGN: Residual Graph Neural Networks based on Markov Chain for sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103671openalex-snapshot
Unveiling the secrets of online consumer choice: A deep learning algorithmic approach to evaluate and predict purchase decisions through EEG responses
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103701openalex-snapshot
Cross-view hypergraph contrastive learning for attribute-aware recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103790openalex-snapshot
Simplices-based higher-order enhancement graph neural network for multi-behavior recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104075openalex-snapshot
Exploiting diffusion-based structured learning for item interactions representations in multimodal recommender systems
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104267openalex-snapshot
Accuracy and beyond-accuracy perspectives of controllable multi-objective recommender systems
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104354openalex-snapshot
Retrieval-enhanced, Adaptively Collaborative, and Temporal-aware user behavior comprehension for LLM-based sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.is.2017.09.001openalex-snapshot
Context-aware recommender systems in mobile environment: On the road of future research
inferred← citeshttps://doi.org/10.1016/j.is.2018.09.001openalex-snapshot
The Pure Cold-Start Problem: A deep study about how to conquer first-time users in recommendations domains
inferred← citeshttps://doi.org/10.1016/j.is.2019.01.008openalex-snapshot
Combining different metadata views for better recommendation accuracy
inferred← citeshttps://doi.org/10.1016/j.is.2021.101789openalex-snapshot
Points of Interest recommendations: Methods, evaluation, and future directions
inferred← citeshttps://doi.org/10.1016/j.is.2021.101928openalex-snapshot
An efficient hybrid query recommendation using shingling and hashing techniques
inferred← citeshttps://doi.org/10.1016/j.is.2022.102019openalex-snapshot
A reproducible POI recommendation framework: Works mapping and benchmark evaluation
inferred← citeshttps://doi.org/10.1016/j.is.2022.102023openalex-snapshot
Sequence recommendations for groups: A dynamic approach to balance preferences
inferred← citeshttps://doi.org/10.1016/j.is.2023.102207openalex-snapshot
Collaborative knowledge-aware recommendation based on neighborhood negative sampling
inferred← citeshttps://doi.org/10.1016/j.isci.2023.107256openalex-snapshot
Humans perceive warmth and competence in artificial intelligence
inferred← citeshttps://doi.org/10.1016/j.iswa.2022.200070openalex-snapshot
Two-stage system using item features for next-item recommendation
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