{"id":1812,"date":"2026-03-30T00:17:53","date_gmt":"2026-03-29T16:17:53","guid":{"rendered":"https:\/\/iweb20wp-b205b.url.tku.edu.tw\/jase\/?post_type=tkuisotope&p=1812"},"modified":"2026-05-20T13:19:16","modified_gmt":"2026-05-20T05:19:16","slug":"interdependent-path-recurrent-embedding-for-knowledge-graph-aware-recommendation","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=interdependent-path-recurrent-embedding-for-knowledge-graph-aware-recommendation","title":{"rendered":"Interdependent-path Recurrent Embedding for Knowledge Graph-aware Recommendation"},"content":{"rendered":"\n
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<\/i> 2026<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 29, Issue 3<\/a><\/p>\n<\/div>\n\n\n\n

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Xiao Sha<\/i><\/a>, Jianwen Wang, Xiaoran Xu, and Jianchuan Ding<\/p>\n\n\n\n

Department of Computer Science, Hebei University of Water Resources and Electric Engineering, Cangzhou, 061001, China<\/p>\n<\/div>\n\n\n\n

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Received:\u00a0March 3, 2025
Accepted:\u00a0May 20, 2025
Publication Date:\u00a0March 30, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

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A representation of a KG in the film sector, demonstrating entities like users and movies, as well as the relations between these entities, such as interactions and friendships.<\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation:\u00a0 BibTeX <\/a>| https:\/\/doi.org\/10.6180\/jase.202603_29(3).0004<\/a>\u00a0\u00a0<\/p>\n\n\n\n

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Knowledge graphs (KGs) have demonstrated their effectiveness in providing high-quality recommendations by incorporating rich semantic relationships between entities. However, existing KG-aware recommendation methods face significant challenges in sufficiently exploiting both the structural and semantic information while maintaining computational efficiency. We propose the Interdependent-path Recurrent Embedding (IPRE) framework that addresses these limitations through novel interdependent path construction and attentive encoding. The framework automatically generates interdependent paths connecting user-item pairs, preserving both semantic relationships and topological dependencies with linear time complexity. A dedicated attentive recurrent network then encodes these paths by learning relation-aware representations and adaptively weighting
different predecessors\u2019 influence. Comprehensive experiments on three real-world datasets demonstrate IPRE\u2019s superiority, achieving average improvements of 8.79% in Hit ratio and 9.40% in NDCG over state-of-the-art methods. The framework shows particular effectiveness in sparse data scenarios, while maintaining competitive computational efficiency. These results validate IPRE\u2019s capability to effectively transform KG information into accurate recommendations through its innovative path modeling approach.<\/p>\n\n\n\n

Keywords:\u00a0Recommender Systems; Knowledge Graphs; Attention Mechanism; Collaborative Filtering<\/em><\/p>\n\n\n\n

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    <\/p>\n","protected":false},"author":3,"template":"wp-custom-template-detail-4-aricles","meta":{"_uag_custom_page_level_css":""},"categories":[12,15,6,118],"tags":[171],"acf":[],"uagb_featured_image_src":[],"uagb_author_info":{"display_name":"\u6797\u923a\u6db5","author_link":"\/jase\/?author=3"},"uagb_comment_info":0,"uagb_excerpt":" Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited. Download Citation:\u00a0 BibTeX | https:\/\/doi.org\/10.6180\/jase.202603_29(3).0004\u00a0\u00a0 Download PDF Knowledge graphs (KGs) have demonstrated their effectiveness in providing high-quality recommendations…","_links":{"self":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/tkuisotope\/1812"}],"collection":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/tkuisotope"}],"about":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/types\/tkuisotope"}],"author":[{"embeddable":true,"href":"\/jase\/index.php?rest_route=\/wp\/v2\/users\/3"}],"wp:attachment":[{"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1812"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1812"},{"taxonomy":"post_tag","embeddable":true,"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1812"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}