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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/978-0-387-85820-3openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_3openalex-snapshot
Content-based Recommender Systems: State of the Art and Trends
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-319-08786-3_34openalex-snapshot
Combining Distributional Semantics and Entity Linking for Context-Aware Content-Based Recommendation
inferredcites →https://doi.org/10.1007/978-3-319-10491-1_10openalex-snapshot
A Linked Data Recommender System Using a Neighborhood-Based Graph Kernel
inferredcites →https://doi.org/10.1007/978-3-319-11964-9_22openalex-snapshot
Transferring Semantic Categories with Vertex Kernels: Recommendations with SemanticSVD++
inferredcites →https://doi.org/10.1007/978-3-319-12024-9openalex-snapshot
Semantic Web Evaluation Challenge: SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers
inferredcites →https://doi.org/10.1007/978-3-319-12024-9_17openalex-snapshot
Linked Open Data-Enabled Recommender Systems: ESWC 2014 Challenge on Book Recommendation
inferredcites →https://doi.org/10.1007/978-3-540-87479-9_12openalex-snapshot
Improving Maximum Margin Matrix Factorization
inferredcites →https://doi.org/10.1007/978-3-540-92673-3_35openalex-snapshot
Ontology-Based Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-642-38288-8_24openalex-snapshot
A Comparison of Knowledge Extraction Tools for the Semantic Web
inferredcites →https://doi.org/10.1007/s10791-006-9019-zopenalex-snapshot
Linear feature-based models for information retrieval
inferredcites →https://doi.org/10.1007/s10791-009-9112-1openalex-snapshot
Adapting boosting for information retrieval measures
inferredcites →https://doi.org/10.1007/s10994-010-5205-8openalex-snapshot
Relational retrieval using a combination of path-constrained random walks
inferredcites →https://doi.org/10.1016/j.websem.2009.07.002openalex-snapshot
DBpedia - A crystallization point for the Web of Data
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1023/a:1021240730564openalex-snapshot
Hybrid Recommender Systems: Survey and Experiments
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-snapshot
Factorization Machines
inferredcites →https://doi.org/10.1109/icdm.2010.129openalex-snapshot
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
inferredcites →https://doi.org/10.1109/icdm.2011.134openalex-snapshot
SLIM: Sparse Linear Methods for Top-N Recommender Systems
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2014.2327028openalex-snapshot
Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions
inferredcites →https://doi.org/10.1109/wi-iat.2014.36openalex-snapshot
SemanticSVD++: Incorporating Semantic Taste Evolution for Predicting Ratings
inferredcites →https://doi.org/10.1145/1008992.1009121openalex-snapshot
Measuring ineffectiveness
inferredcites →https://doi.org/10.1145/1031171.1031252openalex-snapshot
Taxonomy-driven computation of product recommendations
inferredcites →https://doi.org/10.1145/1242572.1242667openalex-snapshot
Yago
inferredcites →https://doi.org/10.1145/1277741.1277809openalex-snapshot
AdaRank
inferredcites →https://doi.org/10.1145/1278366.1278371openalex-snapshot
Generating semantically enriched user profiles for Web personalization
inferredcites →https://doi.org/10.1145/1321440.1321528openalex-snapshot
A comparison of statistical significance tests for information retrieval evaluation
inferredcites →https://doi.org/10.1145/1376616.1376746openalex-snapshot
Freebase
inferredcites →https://doi.org/10.1145/1390156.1390267openalex-snapshot
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
inferredcites →https://doi.org/10.1145/1390334.1390351openalex-snapshot
EigenRank
inferredcites →https://doi.org/10.1145/1639714.1639773openalex-snapshot
Knowledge infusion into content-based recommender systems
inferredcites →https://doi.org/10.1145/1864708.1864721openalex-snapshot
Performance of recommender algorithms on top-n recommendation tasks
inferredcites →https://doi.org/10.1145/1864708.1864796openalex-snapshot
Workshop on information heterogeneity and fusion in recommender systems (HetRec 2010)
inferredcites →https://doi.org/10.1145/2039320.2039324openalex-snapshot
A generic semantic-based framework for cross-domain recommendation
inferredcites →https://doi.org/10.1145/2043932.2043989openalex-snapshot
MyMediaLite
inferredcites →https://doi.org/10.1145/2043932.2043996openalex-snapshot
Precision-oriented evaluation of recommender systems
inferredcites →https://doi.org/10.1145/2043932.2044016openalex-snapshot
Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)
inferredcites →https://doi.org/10.1145/2124295.2124314openalex-snapshot
Collaborative ranking
inferredcites →https://doi.org/10.1145/2168752.2168771openalex-snapshot
Factorization Machines with libFM
inferredcites →https://doi.org/10.1145/2362499.2362501openalex-snapshot
Linked open data to support content-based recommender systems
inferredcites →https://doi.org/10.1145/2365952.2365981openalex-snapshot
CLiMF
inferredcites →https://doi.org/10.1145/2365952.2365983openalex-snapshot
Sparse linear methods with side information for top-n recommendations
inferredcites →https://doi.org/10.1145/2365952.2366007openalex-snapshot
Exploiting the web of data in model-based recommender systems
inferredcites →https://doi.org/10.1145/2396761.2398488openalex-snapshot
PathRank
inferredcites →https://doi.org/10.1145/2396761.2398610openalex-snapshot
Learning to rank for hybrid recommendation
inferredcites →https://doi.org/10.1145/2507157.2507160openalex-snapshot
Evaluation of recommendations
inferredcites →https://doi.org/10.1145/2507157.2507171openalex-snapshot
Hybrid event recommendation using linked data and user diversity
inferredcites →https://doi.org/10.1145/2507157.2507172openalex-snapshot
Top-N recommendations from implicit feedback leveraging linked open data
inferredcites →https://doi.org/10.1145/2556195.2556259openalex-snapshot
Personalized entity recommendation
inferredcites →https://doi.org/10.1145/2645710.2645746openalex-snapshot
Comparative recommender system evaluation
inferredcites →https://doi.org/10.1184/r1/6476267openalex-snapshot
Random Walk Inference and Learning in A Large Scale Knowledge Base
inferredcites →https://doi.org/10.1214/aos/1013203451openalex-snapshot
Greedy function approximation: A gradient boosting machine.
inferredcites →https://doi.org/10.14778/2212351.2212354openalex-snapshot
Distributed GraphLab
inferredcites →https://doi.org/10.1561/1500000016openalex-snapshot
Learning to Rank for Information Retrieval
inferredcites →https://doi.org/10.2307/2288003openalex-snapshot
Classification and Regression Trees.
inferredcites →https://doi.org/10.3115/1613715openalex-snapshot
Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08
inferredcites →https://doi.org/10.3233/aic-2008-0437openalex-snapshot
A multilayer ontology-based hybrid recommendation model
inferredcites →https://doi.org/10.3233/sw-140134openalex-snapshot
DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia
inferredcites →https://doi.org/10.4018/jswis.2009081901openalex-snapshot
Linked Data - The Story So Far
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0029openalex-snapshot
Learning to Rank with Nonsmooth Cost Functions

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.7505openalex-snapshot
Deep auto‐encoder based clustering algorithm for graph‐based web page recommendation system
inferred← citeshttps://doi.org/10.1007/978-1-4614-7163-9_110165-1openalex-snapshot
Recommender Systems Based on Linked Open Data
inferred← citeshttps://doi.org/10.1007/978-1-4939-7131-2_110165openalex-snapshot
Recommender Systems Based on Linked Open Data
inferred← citeshttps://doi.org/10.1007/978-3-030-02671-4_3openalex-snapshot
PerceptRank: A Real-Time Learning to Rank Recommender System for Online Interactive Platforms
inferred← citeshttps://doi.org/10.1007/978-3-030-05618-6_5openalex-snapshot
Adaptive and Personalized Systems Based on Semantics
inferred← citeshttps://doi.org/10.1007/978-3-030-19274-7_2openalex-snapshot
Augmenting LOD-Based Recommender Systems Using Graph Centrality Measures
inferred← citeshttps://doi.org/10.1007/978-3-030-21348-0_38openalex-snapshot
Tinderbook: Fall in Love with Culture
inferred← citeshttps://doi.org/10.1007/978-3-030-24296-1_28openalex-snapshot
Sharing Linkable Learning Objects with the Use of Metadata and a Taxonomy Assistant for Categorization
inferred← citeshttps://doi.org/10.1007/978-3-030-30952-7_69openalex-snapshot
A Graph Kernel Based Item Similarity Measure for Top-N Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-030-49461-2_18openalex-snapshot
SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs
inferred← citeshttps://doi.org/10.1007/978-3-030-82136-4_20openalex-snapshot
Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System
inferred← citeshttps://doi.org/10.1007/978-3-031-21422-6_1openalex-snapshot
DBkWik++- Multi Source Matching of Knowledge Graphs
inferred← citeshttps://doi.org/10.1007/978-3-031-42941-5_52openalex-snapshot
Overcoming the Cold-Start Problem in Recommendation Systems with Ontologies and Knowledge Graphs
inferred← citeshttps://doi.org/10.1007/978-3-031-66965-1_4openalex-snapshot
Alleviating Sparsity to Enhance Group Recommendation with Cross-Linked Domain Model
inferred← citeshttps://doi.org/10.1007/978-3-319-38791-8_61openalex-snapshot
Recommender Systems Meet Linked Open Data
inferred← citeshttps://doi.org/10.1007/978-3-319-58068-5_34openalex-snapshot
Crowdsourced Affinity: A Matter of Fact or Experience
inferred← citeshttps://doi.org/10.1007/978-3-319-68786-5_33openalex-snapshot
Factorization Machines Leveraging Lightweight Linked Open Data-Enabled Features for Top-N Recommendations
inferred← citeshttps://doi.org/10.1007/978-3-319-91455-8_7openalex-snapshot
A High Precision Recommendation Algorithm Based on Combination Features
inferred← citeshttps://doi.org/10.1007/978-3-319-93417-4_32openalex-snapshot
Transfer Learning for Item Recommendations and Knowledge Graph Completion in Item Related Domains via a Co-Factorization Model
inferred← citeshttps://doi.org/10.1007/978-3-319-93417-4_9openalex-snapshot
Using Ontology-Based Data Summarization to Develop Semantics-Aware Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-319-98192-5_22openalex-snapshot
Knowledge Graph Embeddings with node2vec for Item Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-319-98192-5_61openalex-snapshot
Translational Models for Item Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-319-98809-2_10openalex-snapshot
Learning Interpretable Entity Representation in Linked Data
inferred← citeshttps://doi.org/10.1007/978-981-19-2719-5_68openalex-snapshot
The State of the Art Techniques in Recommendation Systems
inferred← citeshttps://doi.org/10.1007/s00521-021-06573-8openalex-snapshot
Poisoning attacks against knowledge graph-based recommendation systems using deep reinforcement learning
inferred← citeshttps://doi.org/10.1007/s10115-019-01415-5openalex-snapshot
DBkWik: extracting and integrating knowledge from thousands of Wikis
inferred← citeshttps://doi.org/10.1007/s10115-022-01808-zopenalex-snapshot
An efficient joint framework for interacting knowledge graph and item recommendation
inferred← citeshttps://doi.org/10.1007/s10844-017-0489-9openalex-snapshot
A survey of book recommender systems
inferred← citeshttps://doi.org/10.1007/s10844-018-0532-5openalex-snapshot
Inferring preferences in ontology-based recommender systems using WOWA
inferred← citeshttps://doi.org/10.1007/s10844-023-00830-zopenalex-snapshot
A qualitative analysis of knowledge graphs in recommendation scenarios through semantics-aware autoencoders
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1007/s11276-020-02387-zopenalex-snapshot
KG2Rec: LSH-CF recommendation method based on knowledge graph for cloud services
inferred← citeshttps://doi.org/10.1016/j.comnet.2019.02.006openalex-snapshot
An efficient social-like semantic-aware service discovery mechanism for large-scale Internet of Things
inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113235openalex-snapshot
entity2rec: Property-specific knowledge graph embeddings for item recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.115555openalex-snapshot
A graph-based recommendation approach for highly interactive platforms
inferred← citeshttps://doi.org/10.1016/j.inffus.2020.03.014openalex-snapshot
Knowledge graph fusion for smart systems: A Survey
inferred← citeshttps://doi.org/10.1016/j.ipm.2019.02.002openalex-snapshot
Personalized recommendation via user preference matching
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102629openalex-snapshot
Heterogeneous type-specific entity representation learning for recommendations in e-commerce network
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102721openalex-snapshot
Is diversity optimization always suitable? Toward a better understanding of diversity within recommendation approaches
inferred← citeshttps://doi.org/10.1016/j.is.2019.07.001openalex-snapshot
Bridging the gap between linked open data-based recommender systems and distributed representations
inferred← citeshttps://doi.org/10.1109/access.2019.2902398openalex-snapshot
HI2Rec: Exploring Knowledge in Heterogeneous Information for Movie Recommendation
inferred← citeshttps://doi.org/10.1109/access.2020.2991257openalex-snapshot
Reinforcement Learning Over Knowledge Graphs for Explainable Dialogue Intent Mining
inferred← citeshttps://doi.org/10.1109/access.2022.3175566openalex-snapshot
CD-SemMF: Cross-Domain Semantic Relatedness Based Matrix Factorization Model Enabled With Linked Open Data for User Cold Start Issue
inferred← citeshttps://doi.org/10.1109/aiccsa50499.2020.9316466openalex-snapshot
An Experimental Evaluation of Content-based Recommendation Systems: Can Linked Data and BERT Help?
inferred← citeshttps://doi.org/10.1109/asonam.2018.8508650openalex-snapshot
Related Entity Finding on Highly-heterogeneous Knowledge Graphs
inferred← citeshttps://doi.org/10.1109/icbk.2018.00011openalex-snapshot
DBkWik: A Consolidated Knowledge Graph from Thousands of Wikis
inferred← citeshttps://doi.org/10.1109/icdse47409.2019.8971791openalex-snapshot
NPRank: Nexus based Predicate Ranking of Linked Data
inferred← citeshttps://doi.org/10.1109/jbhi.2022.3173558openalex-snapshot
Biomedical Relation Extraction With Knowledge Graph-Based Recommendations
inferred← citeshttps://doi.org/10.1109/scc.2019.00041openalex-snapshot
A POI-Sensitive Knowledge Graph Based Service Recommendation Method
inferred← citeshttps://doi.org/10.1109/taai48200.2019.8959941openalex-snapshot
Integrating Meta-Path Similarity with User Preference for Top-N Recommendation
inferred← citeshttps://doi.org/10.1142/s0218488517400116openalex-snapshot
Addressing the Cold Start with Positive-Only Feedback Through Semantic-Based Recommendations
inferred← citeshttps://doi.org/10.1145/2934732.2934745openalex-snapshot
Exploiting Linked Open Data in Cold-start Recommendations with Positive-only Feedback
inferred← citeshttps://doi.org/10.1145/3019612.3019837openalex-snapshot
Schema-summarization in linked-data-based feature selection for recommender systems
inferred← citeshttps://doi.org/10.1145/3063716openalex-snapshot
Secure IoT-Based, Incentive-Aware Emergency Personnel Dispatching Scheme with Weighted Fine-Grained Access Control
inferred← citeshttps://doi.org/10.1145/3078714.3078732openalex-snapshot
Linking Content Information with Bayesian Personalized Ranking via Multiple Content Alignments
inferred← citeshttps://doi.org/10.1145/3109859.3109889openalex-snapshot
entity2rec
inferred← citeshttps://doi.org/10.1145/3125486.3125496openalex-snapshot
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios
inferred← citeshttps://doi.org/10.1145/3148011.3148035openalex-snapshot
Content Recommendation through Semantic Annotation of User Reviews and Linked Data
inferred← citeshttps://doi.org/10.1145/3184558.3186233openalex-snapshot
Semantics-aware Recommender Systems Exploiting Linked Open Data and Graph-based Features
inferred← citeshttps://doi.org/10.1145/3243652openalex-snapshot
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3308558.3313705openalex-snapshot
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences
inferred← citeshttps://doi.org/10.1145/3326467.3326476openalex-snapshot
LODBookRec
inferred← citeshttps://doi.org/10.1145/3340531.3411902openalex-snapshot
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning
inferred← citeshttps://doi.org/10.1145/3344211openalex-snapshot
RecRules
inferred← citeshttps://doi.org/10.1145/3447264openalex-snapshot
From Users’ Intentions to IF-THEN Rules in the Internet of Things
inferred← citeshttps://doi.org/10.1145/3450613.3456819openalex-snapshot
Generating Interesting Song-to-Song Segues With Dave
inferred← citeshttps://doi.org/10.1145/3460231.3474243openalex-snapshot
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs
inferred← citeshttps://doi.org/10.1145/3579895.3579934openalex-snapshot
Personalized Point-of-Interest Recommendation with Relation-Enhanced Graph Convolutional Network
inferred← citeshttps://doi.org/10.1145/3583780.3615241openalex-snapshot
KGrEaT: A Framework to Evaluate Knowledge Graphs via Downstream Tasks
inferred← citeshttps://doi.org/10.1145/3588901openalex-snapshot
KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs
inferred← citeshttps://doi.org/10.1145/3754338openalex-snapshot
Full Triple Matcher: Integrating All Triple Elements between Heterogeneous Knowledge Graphs
inferred← citeshttps://doi.org/10.1145/3773078.3831782openalex-snapshot
From Side Information and Knowledge Graphs to Large Language Models: Two Decades of Knowledge Integration in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3805712.3809546openalex-snapshot
DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation
inferred← citeshttps://doi.org/10.1162/dint_a_00008openalex-snapshot
KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems
inferred← citeshttps://doi.org/10.1633/jistap.2021.9.2.5openalex-snapshot
Issues and Challenges in the Extraction and Mapping of Linked Open Data Resources with Recommender Systems Datasets
inferred← citeshttps://doi.org/10.2174/9789815079210123010015openalex-snapshot
Knowledge Graphs for Explaination of Black-Box Recommender System
inferred← citeshttps://doi.org/10.26599/tst.2025.9010164openalex-snapshot
Knowledge Graph-Enhanced Recommender System Based on Variational Graph Autoencoder
inferred← citeshttps://doi.org/10.3233/sw-180317openalex-snapshot
RDF2Vec: RDF graph embeddings and their applications
inferred← citeshttps://doi.org/10.3233/sw-190348openalex-snapshot
Building relatedness explanations from knowledge graphs
inferred← citeshttps://doi.org/10.3233/sw-190359openalex-snapshot
Extracting entity-specific substructures for RDF graph embeddings
inferred← citeshttps://doi.org/10.32604/csse.2023.034712openalex-snapshot
A Graph Neural Network Recommendation Based on Long- and Short-Term Preference
inferred← citeshttps://doi.org/10.3390/a11090137openalex-snapshot
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
inferred← citeshttps://doi.org/10.37394/232018.2024.12.20openalex-snapshot
WeightedSLIM: A Novel Item-Weights Enriched Baseline Recommendation Model
inferred← citeshttps://doi.org/10.4236/jcc.2018.612016openalex-snapshot
Knowledge Driven Paper Recommendation Using Heterogeneous Network Embedding Method
inferred← citeshttps://doi.org/10.48550/arxiv.1709.09973openalex-snapshot
Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report
inferred← citeshttps://doi.org/10.48550/arxiv.1807.05006openalex-snapshot
Computing recommendations via a Knowledge Graph-aware Autoencoder
inferred← citeshttps://doi.org/10.48550/arxiv.1807.11141openalex-snapshot
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems
inferred← citeshttps://doi.org/10.5281/zenodo.1157831openalex-snapshot
SemRevRec: A Recommender System based on User Reviews and Linked Data
inferred← citeshttps://doi.org/10.5755/j01.itc.53.1.33495openalex-snapshot
RWESA-GNNR: Fusing Random Walk Embedding and Sentiment Analysis for Graph Neural Network Recommendation
inferred← citeshttps://doi.org/10.70675/07e5ef55zd34fz4130zb334za37499ee660copenalex-snapshot
Vers un meilleur accès aux informations pertinentes à l’aide du Web sémantique : application au domaine du e-tourisme
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