Continual knowledge graph embedding enhancement for joint interaction-based next click recommendation

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dc.authorscopusid57222122768
dc.authorscopusid13205045700
dc.authorscopusid55499789000
dc.authorscopusid8945093900
dc.contributor.authorKhan, Nasrullah
dc.contributor.authorMa, Zongmin
dc.contributor.authorMa, Ruizhe
dc.contributor.authorPolat, Kemal
dc.date.accessioned2024-09-25T19:43:06Z
dc.date.available2024-09-25T19:43:06Z
dc.date.issued2024
dc.departmentAbant İzzet Baysal Üniversitesien_US
dc.description.abstractKnowledge Graph Embedding (KGE) based deep neural networks contribute to recommender systems in diverse application scenarios. However, Catastrophic Forgetting (CForg) significantly degrades their performance. Although exemplar replay is commonly adopted as a possible remedy to alleviate the intensity of CForg, a trade-off between performance and complexity occurs in this process. Therefore, in this work, we introduce Continual Knowledge graph embedding enhancement for joint Interaction-based Next click recommendation (CKIN) to defy the CForg and assuage the complexity. Typically, we introduce the Semantic Relevance Estimation (SRE) technique to ensure information relevance by filtering out irrelevant-data and reducing the space complexity. We introduce the SRE-enhanced deep probabilistic technique to probably replay the most relevant exemplars to defy the CForg and reduce the time complexity. Moreover, we introduce the integration of locality-preserving loss into the KGE framework to optimize the loss. In substantial experiments on real-world datasets, CKIN outperforms the baseline methods by effectively meeting the highlighted challenges. © 2024 Elsevier B.V.en_US
dc.description.sponsorshipNational Natural Science Foundation of China, NSFC, (62176121, 61772269)en_US
dc.identifier.doi10.1016/j.knosys.2024.112475
dc.identifier.issn0950-7051
dc.identifier.scopus2-s2.0-85203816007en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.knosys.2024.112475
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12442
dc.identifier.volume304en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofKnowledge-Based Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzYK_20240925en_US
dc.subjectCatastrophic forgettingen_US
dc.subjectContinual KGE enhancementen_US
dc.subjectInteractions to quadrupletsen_US
dc.subjectNext click recommendationen_US
dc.titleContinual knowledge graph embedding enhancement for joint interaction-based next click recommendationen_US
dc.typeArticleen_US

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