{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T21:28:49Z","timestamp":1771190929923,"version":"3.50.1"},"reference-count":30,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,3,12]],"date-time":"2022-03-12T00:00:00Z","timestamp":1647043200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["NO. 62176011, NO. 61702022, NO. 61802011, and NO. 61976010"],"award-info":[{"award-number":["NO. 62176011, NO. 61702022, NO. 61802011, and NO. 61976010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Municipal Education Committee Science Foundation","award":["NO. KM201910005024"],"award-info":[{"award-number":["NO. KM201910005024"]}]},{"name":"Inner Mongolia Autonomous Region Science and Technology Foundation","award":["NO. 2021GG0333"],"award-info":[{"award-number":["NO. 2021GG0333"]}]},{"DOI":"10.13039\/501100005024","name":"Beijing Postdoctoral Research Foundation","doi-asserted-by":"publisher","award":["NO. Q6042001202101"],"award-info":[{"award-number":["NO. Q6042001202101"]}],"id":[{"id":"10.13039\/501100005024","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Recommender systems help users filter items they may be interested in from massive multimedia content to alleviate information overload. Collaborative filtering-based models perform recommendation relying on users\u2019 historical interactions, which meets great difficulty in modeling users\u2019 interests with extremely sparse interactions. Fortunately, the rich semantics hidden in items may be promising in helping to describing users\u2019 interests. In this work, we explore the semantic correlations between items on modeling users\u2019 interests and propose knowledge-aware multispace embedding learning (KMEL) for personalized recommendation. KMEL attempts to model users\u2019 interests across semantic structures to leverage valuable knowledge. High-order semantic collaborative signals are extracted in multiple independent semantic spaces and aggregated to describe users\u2019 interests in each specific semantic. The semantic embeddings are adaptively integrated with a target-aware attention mechanism to learn cross-space multisemantic embeddings for users and items, which are fed to the subsequent pairwise interaction layer for personalized recommendation. Experiments on real-world datasets demonstrate the effectiveness of the proposed KMEL model.<\/jats:p>","DOI":"10.3390\/s22062212","type":"journal-article","created":{"date-parts":[[2022,3,13]],"date-time":"2022-03-13T21:44:17Z","timestamp":1647207857000},"page":"2212","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Knowledge-Aware Multispace Embedding Learning for Personalized Recommendation"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5659-5128","authenticated-orcid":false,"given":"Meng","family":"Jian","sequence":"first","affiliation":[{"name":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"}]},{"given":"Chenlin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"}]},{"given":"Xin","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China"}]},{"given":"Lifang","family":"Wu","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China"}]},{"given":"Zhangquan","family":"Wang","sequence":"additional","affiliation":[{"name":"Inner Mongolia Aerospace Power Machinery Testing Institute, Huhhot 010076, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"100879","DOI":"10.1016\/j.elerap.2019.100879","article-title":"Research commentary on recommendations with side information: A survey and research directions","volume":"37","author":"Sun","year":"2019","journal-title":"Electron. 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