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KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/int.21735openalex-snapshot
Collaborative Filtering with Entropy-Driven User Similarity in Recommender Systems
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Novelty and Diversity in Recommender Systems
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Evaluating Recommender Systems
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A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context
inferredcites →https://doi.org/10.1007/978-3-030-60029-7_6openalex-snapshot
Deep Hybrid Knowledge Graph Embedding for Top-N Recommendation
inferredcites →https://doi.org/10.1007/978-3-319-90092-6_14openalex-snapshot
Recommending Based on Implicit Feedback
inferredcites →https://doi.org/10.1007/978-3-319-93417-4_9openalex-snapshot
Using Ontology-Based Data Summarization to Develop Semantics-Aware Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_10openalex-snapshot
Content-Based Recommendation Systems
inferredcites →https://doi.org/10.1007/978-3-540-76298-0_52openalex-snapshot
DBpedia: A Nucleus for a Web of Open Data
inferredcites →https://doi.org/10.1007/s10115-010-0287-yopenalex-snapshot
An information gain-based approach for recommending useful product reviews
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Exploring demographic information in social media for product recommendation
inferredcites →https://doi.org/10.1007/s10676-013-9321-6openalex-snapshot
Bias in algorithmic filtering and personalization
inferredcites →https://doi.org/10.1007/s10844-021-00688-zopenalex-snapshot
User-controlled federated matrix factorization for recommender systems
inferredcites →https://doi.org/10.1007/s11257-014-9153-zopenalex-snapshot
A supervised active learning framework for recommender systems based on decision trees
inferredcites →https://doi.org/10.1007/s11257-018-9217-6openalex-snapshot
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization
inferredcites →https://doi.org/10.1007/s11257-020-09285-1openalex-snapshot
A flexible framework for evaluating user and item fairness in recommender systems
inferredcites →https://doi.org/10.1007/s12652-019-01226-0openalex-snapshot
Using entropy for similarity measures in collaborative filtering
inferredcites →https://doi.org/10.1016/j.eswa.2020.113248openalex-snapshot
Resolving data sparsity and cold start problem in collaborative filtering recommender system using Linked Open Data
inferredcites →https://doi.org/10.1016/j.eswa.2020.113992openalex-snapshot
Knowledge graph enhanced neural collaborative recommendation
inferredcites →https://doi.org/10.1016/j.eswa.2020.114111openalex-snapshot
An entropy empowered hybridized aggregation technique for group recommender systems
inferredcites →https://doi.org/10.1016/j.future.2020.02.024openalex-snapshot
Knowledge transfer by domain-independent user latent factor for cross-domain recommender systems
inferredcites →https://doi.org/10.1016/j.ins.2016.11.015openalex-snapshot
Adaptive multi-attribute diversity for recommender systems
inferredcites →https://doi.org/10.1016/j.ins.2020.03.014openalex-snapshot
Knowledge modeling via contextualized representations for LSTM-based personalized exercise recommendation
inferredcites →https://doi.org/10.1016/j.jbi.2008.03.004openalex-snapshot
Bio2RDF: Towards a mashup to build bioinformatics knowledge systems
inferredcites →https://doi.org/10.1016/j.knosys.2020.105618openalex-snapshot
A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning
inferredcites →https://doi.org/10.1016/j.knosys.2020.106194openalex-snapshot
HAGERec: Hierarchical Attention Graph Convolutional Network Incorporating Knowledge Graph for Explainable Recommendation
inferredcites →https://doi.org/10.1016/j.neucom.2016.07.030openalex-snapshot
Heterogeneous hypergraph embedding for document recommendation
inferredcites →https://doi.org/10.1023/b:amai.0000018580.96245.c6openalex-snapshot
Theoretical Comparison between the Gini Index and Information Gain Criteria
inferredcites →https://doi.org/10.1108/oir-10-2014-0257openalex-snapshot
Evaluating search features of Google Knowledge Graph and Bing Satori
inferredcites →https://doi.org/10.1109/access.2020.3011279openalex-snapshot
MRP2Rec: Exploring Multiple-Step Relation Path Semantics for Knowledge Graph-Based Recommendations
inferredcites →https://doi.org/10.1109/es.2014.16openalex-snapshot
A Hybrid User Profile Model for Personalized Recommender System with Linked Open Data
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/mci.2021.3129958openalex-snapshot
RecoXplainer: A Library for Development and Offline Evaluation of Explainable Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2011.15openalex-snapshot
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
inferredcites →https://doi.org/10.1109/tkde.2020.3010215openalex-snapshot
Semantic Interpretation of Top-N Recommendations
inferredcites →https://doi.org/10.1109/tkde.2020.3028705openalex-snapshot
A Survey on Knowledge Graph-Based Recommender Systems
inferredcites →https://doi.org/10.1109/tsmcc.2004.843247openalex-snapshot
Top-Down Induction of Decision Trees Classifiers—A Survey
inferredcites →https://doi.org/10.1109/uic-atc.2017.8397411openalex-snapshot
Interpretability of deep learning models: A survey of results
inferredcites →https://doi.org/10.1145/3312738openalex-snapshot
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems
inferredcites →https://doi.org/10.1145/3407190openalex-snapshot
Recommender Systems Leveraging Multimedia Content
inferredcites →https://doi.org/10.1145/3452740openalex-snapshot
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation
inferredcites →https://doi.org/10.1145/3460231.3473326openalex-snapshot
Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications
inferredcites →https://doi.org/10.1145/3460231.3474243openalex-snapshot
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs
inferredcites →https://doi.org/10.1145/3460231.3478881openalex-snapshot
V-Elliot: Design, Evaluate and Tune Visual Recommender Systems
inferredcites →https://doi.org/10.1155/2020/8912065openalex-snapshot
Dealing with Pure New User Cold-Start Problem in Recommendation System Based on Linked Open Data and Social Network Features
inferredcites →https://doi.org/10.1561/9781680836592openalex-snapshot
Explainable Recommendation: A Survey and New Perspectives
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015329openalex-snapshot
Explainable Reasoning over Knowledge Graphs for Recommendation
inferredcites →https://doi.org/10.2200/s00334ed1v01y201102wbe001openalex-snapshot
Linked Data: Evolving the Web into a Global Data Space
inferredcites →https://doi.org/10.2307/2956507openalex-snapshot
Cours d'Economie Politique. Tome Premier.
inferredcites →https://doi.org/10.3233/ia-200054openalex-snapshot
Prioritized multi-criteria federated learning
inferredcites →https://doi.org/10.3233/sw-140134openalex-snapshot
DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia
inferredcites →https://doi.org/10.3233/sw-180339openalex-snapshot
Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-71382-8_4openalex-snapshot
KGUF: Simple Knowledge-Aware Graph-Based Recommender with User-Based Semantic Features Filtering
inferred← citeshttps://doi.org/10.1007/978-3-031-88714-7_3openalex-snapshot
Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125889openalex-snapshot
An explainable graph-based course recommendation model based on multiple interest factors
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128595openalex-snapshot
Adaptive denoising graph contrastive learning with memory graph attention for recommendation
inferred← citeshttps://doi.org/10.1109/iscait69154.2026.11477469openalex-snapshot
Design of a Large Model and Knowledge Graph Fusion Recommendation System Based on Inference-Closed Loops
inferred← citeshttps://doi.org/10.1145/3604915.3608804openalex-snapshot
KGTORe: Tailored Recommendations through Knowledge-aware GNN Models
inferred← citeshttps://doi.org/10.1145/3604915.3609497openalex-snapshot
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives
inferred← citeshttps://doi.org/10.1145/3631700.3658522openalex-snapshot
Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives
inferred← citeshttps://doi.org/10.1145/3637067openalex-snapshot
Enhancing Item-level Bundle Representation for Bundle Recommendation
inferred← citeshttps://doi.org/10.1145/3640457.3688070openalex-snapshot
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph
inferred← citeshttps://doi.org/10.1145/3708319.3733680openalex-snapshot
Content-Based or Collaborative? Insights from Inter-List Similarity Analysis of ChatGPT Recommendations
inferred← citeshttps://doi.org/10.1145/3726302.3730320openalex-snapshot
D ata R ec : A Python Library for Standardized and Reproducible Data Management in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3742898openalex-snapshot
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
inferred← citeshttps://doi.org/10.3390/electronics13101927openalex-snapshot
KGCFRec: Improving Collaborative Filtering Recommendation with Knowledge Graph
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