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Personalized Semantic Similarity Strategies for Linked Open Data Recommender Systems

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-19274-7_2openalex-snapshot

Augmenting LOD-Based Recommender Systems Using Graph Centrality Measures

inferredcites →https://doi.org/10.1007/978-3-319-31676-5_13openalex-snapshot

Computing the Semantic Similarity of Resources in DBpedia for Recommendation Purposes

inferredcites →https://doi.org/10.1016/j.knosys.2016.07.012openalex-snapshot

A semantic similarity measure for linked data: An information content-based approach

inferredcites →https://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

inferredcites →https://doi.org/10.1145/2930238.2930249openalex-snapshot

Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data

inferredcites →https://doi.org/10.1145/2959100.2959131openalex-snapshot

Personalized Recommendations using Knowledge Graphs

inferredcites →https://doi.org/10.1145/3308558.3313705openalex-snapshot

Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences

inferredcites →https://doi.org/10.3390/info12060232openalex-snapshot

A Comprehensive Survey of Knowledge Graph-Based Recommender Systems: Technologies, Development, and Contributions

inferredcites →https://doi.org/10.4018/jswis.2009081901openalex-snapshot

Linked Data - The Story So Far

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