{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T20:34:53Z","timestamp":1774125293774,"version":"3.50.1"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T00:00:00Z","timestamp":1753488000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T00:00:00Z","timestamp":1753488000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-025-04231-7","type":"journal-article","created":{"date-parts":[[2025,7,26]],"date-time":"2025-07-26T07:13:24Z","timestamp":1753514004000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Context-Aware Collaborative Recommendation Using Knowledge Graph"],"prefix":"10.1007","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0607-687X","authenticated-orcid":false,"given":"Saubhik","family":"Goswami","sequence":"first","affiliation":[]},{"given":"Diotima","family":"Nag","sequence":"additional","affiliation":[]},{"given":"Rishita","family":"Sengupta","sequence":"additional","affiliation":[]},{"given":"Ahona","family":"Bose","sequence":"additional","affiliation":[]},{"given":"Sankhayan","family":"Choudhury","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,26]]},"reference":[{"key":"4231_CR1","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.dss.2015.03.008","volume":"74","author":"J Lu","year":"2015","unstructured":"Lu J, Wu D, Mao M, Wang W, Zhang G. Recommender system application developments: a survey. Decis Support Syst. 2015;74:12\u201332.","journal-title":"Decis Support Syst"},{"key":"4231_CR2","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.jnca.2016.05.006","volume":"70","author":"J Niu","year":"2016","unstructured":"Niu J, Wang L, Liu X, Yu S. FUIR: fusing user and item information to deal with data sparsity by using side information in recommendation systems. J Netw Comput Appl. 2016;70:41\u201350.","journal-title":"J Netw Comput Appl"},{"key":"4231_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105371","volume":"192","author":"S Ahmadian","year":"2020","unstructured":"Ahmadian S, Joorabloo N, Jalili M, Ren Y, Meghdadi M, Afsharchi M. A social recommender system based on reliable implicit relationships. Knowl-Based Syst. 2020;192: 105371.","journal-title":"Knowl-Based Syst"},{"key":"4231_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114074","volume":"166","author":"Y Wang","year":"2021","unstructured":"Wang Y, Wang P, Liu Z, Zhang LY. A new item similarity based on $$\\alpha$$-divergence for collaborative filtering in sparse data. Expert Syst Appl. 2021;166: 114074.","journal-title":"Expert Syst Appl"},{"key":"4231_CR5","doi-asserted-by":"publisher","first-page":"1141","DOI":"10.1007\/s11280-017-0476-7","volume":"21","author":"Y Yu","year":"2018","unstructured":"Yu Y, Gao Y, Wang H, Wang R. Joint user knowledge and matrix factorization for recommender systems. World Wide Web. 2018;21:1141\u201363.","journal-title":"World Wide Web"},{"key":"4231_CR6","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.ins.2020.12.001","volume":"553","author":"F Ortega","year":"2021","unstructured":"Ortega F, Lara-Cabrera R, Gonz\u00e1lez-Prieto \u00c1, Bobadilla J. Providing reliability in recommender systems through Bernoulli matrix factorization. Inf Sci. 2021;553:110\u201328.","journal-title":"Inf Sci"},{"key":"4231_CR7","doi-asserted-by":"crossref","unstructured":"He X, Liao L, Zhang H, Nie L, Hu X, Chua T-S. Neural collaborative filtering. In: Proceedings of the 26th International Conference on World Wide Web. 2017. p. 173\u201382.","DOI":"10.1145\/3038912.3052569"},{"issue":"4","key":"4231_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3343117","volume":"37","author":"W Chen","year":"2019","unstructured":"Chen W, Cai F, Chen H, De Rijke M. Joint neural collaborative filtering for recommender systems. ACM Trans Inf Syst (TOIS). 2019;37(4):1\u201330.","journal-title":"ACM Trans Inf Syst (TOIS)"},{"issue":"8","key":"4231_CR9","doi-asserted-by":"publisher","first-page":"4591","DOI":"10.1109\/TII.2019.2893714","volume":"15","author":"B Yi","year":"2019","unstructured":"Yi B, Shen X, Liu H, et al. Deep matrix factorization with implicit feedback embedding for recommendation system. IEEE Trans Ind Inf. 2019;15(8):4591\u2013601.","journal-title":"IEEE Trans Ind Inf"},{"key":"4231_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115439","volume":"183","author":"Y Zhang","year":"2021","unstructured":"Zhang Y, Liu X. Learning attention embeddings based on memory networks for neural collaborative recommendation. Expert Syst Appl. 2021;183: 115439.","journal-title":"Expert Syst Appl"},{"key":"4231_CR11","doi-asserted-by":"crossref","unstructured":"Wang X, He X, Wang M, Feng F, Chua TS. Neural graph collaborative filtering. In: Proceedings of the 42nd international ACM SIGIR conference on Research and development in Information Retrieval. 2019. p. 165\u2013174.","DOI":"10.1145\/3331184.3331267"},{"key":"4231_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-319-29659-3","volume-title":"Recommender systems: the textbook","author":"CC Aggarwal","year":"2016","unstructured":"Aggarwal CC. An introduction to recommender systems. In: Recommender systems: the textbook. Cham: Springer International Publishing; 2016. p. 1\u201328."},{"issue":"8","key":"4231_CR13","doi-asserted-by":"publisher","first-page":"3549","DOI":"10.1109\/TKDE.2020.3028705","volume":"34","author":"Q Guo","year":"2020","unstructured":"Guo Q, Zhuang F, Qin C, et al. A survey on knowledge graph-based recommender systems. IEEE Trans Knowl Data Eng. 2020;34(8):3549\u201368.","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4231_CR14","doi-asserted-by":"crossref","unstructured":"Zhang F, Yuan NJ, Lian D, Xie X, Ma WY. Collaborative knowledge base embedding for recommender systems. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2016. p. 353\u201362.","DOI":"10.1145\/2939672.2939673"},{"key":"4231_CR15","doi-asserted-by":"crossref","unstructured":"Wang H, Zhang F, Xie X, Guo M. DKN: deep knowledge-aware network for news recommendation. In: Proceedings of the 2018 World Wide Web Conference. 2018. p. 1835\u201344.","DOI":"10.1145\/3178876.3186175"},{"key":"4231_CR16","doi-asserted-by":"crossref","unstructured":"Qi T, Wu F, Wu C, Huang Y. Personalized news recommendation with knowledge-aware interactive matching. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2021. p. 61\u201370.","DOI":"10.1145\/3404835.3462861"},{"key":"4231_CR17","doi-asserted-by":"crossref","unstructured":"Joseph K, Jiang H. Content based news recommendation via shortest entity distance over knowledge graphs. In: Companion Proceedings of The 2019 World Wide Web Conference. 2019. p. 690\u20139.","DOI":"10.1145\/3308560.3317703"},{"key":"4231_CR18","doi-asserted-by":"crossref","unstructured":"Wang X, Wang D, Xu C, He X, Cao Y, Chua TS. Explainable reasoning over knowledge graphs for recommendation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, no. 01. 2019. p. 5329\u201336.","DOI":"10.1609\/aaai.v33i01.33015329"},{"key":"4231_CR19","doi-asserted-by":"crossref","unstructured":"Wang H, Zhang F, Wang J, Zhao M, Li W, Xie X, Guo M. RippleNet: propagating user preferences on the knowledge graph for recommender systems. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management. 2018. p. 417\u201326.","DOI":"10.1145\/3269206.3271739"},{"key":"4231_CR20","doi-asserted-by":"crossref","unstructured":"Lee D, Oh B, Seo S, Lee K-H. News recommendation with topic-enriched knowledge graphs. In: Proceedings of the 29th ACM International Conference on Information and Knowledge Management. 2020. p. 695\u2013704.","DOI":"10.1145\/3340531.3411932"},{"key":"4231_CR21","unstructured":"Song W, Duan Z, Yang Z, Zhu H, Zhang M, Tang J. EKAR: an explainable method for knowledge aware recommendation. 2019. arXiv preprint arXiv:1906.09506."},{"key":"4231_CR22","doi-asserted-by":"crossref","unstructured":"Wang Z, Lin G, Tan H, Chen Q, Liu X. CKAN: collaborative knowledge-aware attentive network for recommender systems. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2020. p. 219\u201328.","DOI":"10.1145\/3397271.3401141"},{"issue":"16","key":"4231_CR23","first-page":"2175","volume":"16","author":"K Verbert","year":"2010","unstructured":"Verbert K, Duval E, Lindstaedt SN, Gillet D. Context-aware recommender systems. J Univ Comput Sci. 2010;16(16):2175\u20138.","journal-title":"J Univ Comput Sci"},{"issue":"6","key":"4231_CR24","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/TKDE.2005.99","volume":"17","author":"G Adomavicius","year":"2005","unstructured":"Adomavicius G, Tuzhilin A. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Knowl Data Eng. 2005;17(6):734\u201349.","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4231_CR25","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.procs.2015.04.237","volume":"49","author":"D Bokde","year":"2015","unstructured":"Bokde D, Girase S, Mukhopadhyay D. Matrix factorization model in collaborative filtering algorithms: a survey. Procedia Comput Sci. 2015;49:136\u201346.","journal-title":"Procedia Comput Sci"},{"key":"4231_CR26","first-page":"5998","volume":"30","author":"A Vaswani","year":"2017","unstructured":"Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser \u0141, Polosukhin I. Attention is all you need. Adv Neural Inf Process Syst. 2017;30:5998\u20136008.","journal-title":"Adv Neural Inf Process Syst"},{"key":"4231_CR27","doi-asserted-by":"crossref","unstructured":"Sun R, Cao X, Zhao Y, Wan J, Zhou K, Zhang F, Wang Z, Zheng K. Multi-modal knowledge graphs for recommender systems. In: Proceedings of the 29th ACM International Conference on Information and Knowledge Management. 2020. p. 1405\u201314.","DOI":"10.1145\/3340531.3411947"},{"issue":"12","key":"4231_CR28","doi-asserted-by":"publisher","first-page":"2724","DOI":"10.1109\/TKDE.2017.2754499","volume":"29","author":"Q Wang","year":"2017","unstructured":"Wang Q, Mao Z, Wang B, Guo L. Knowledge graph embedding: a survey of approaches and applications. IEEE Trans Knowl Data Eng. 2017;29(12):2724\u201343.","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"20","key":"4231_CR29","first-page":"10","volume":"1050","author":"P Veli\u010dkovi\u0107","year":"2017","unstructured":"Veli\u010dkovi\u0107 P, Cucurull G, Casanova A, Romero A, Lio P, Bengio Y. Graph attention networks. Stat. 2017;1050(20):10\u201348550.","journal-title":"Stat"},{"key":"4231_CR30","volume-title":"Data mining: concepts and techniques","author":"J Han","year":"2006","unstructured":"Han J, Kamber M. Data mining: concepts and techniques. San Francisco: Morgan Kaufmann; 2006."},{"issue":"4","key":"4231_CR31","first-page":"17","volume":"32","author":"A Pucci","year":"2006","unstructured":"Pucci A, Gori M, Hagenbuchner M, Scarselli F, Tsoi AC. Investigation into the application of graph neural networks to large-scale recommender systems. Syst Sci. 2006;32(4):17\u201326.","journal-title":"Syst Sci"},{"key":"4231_CR32","first-page":"1603","volume":"23","author":"R Memisevic","year":"2010","unstructured":"Memisevic R, Zach C, Pollefeys M, Hinton GE. Gated softmax classification. Adv Neural Inf Process Syst. 2010;23:1603\u201311.","journal-title":"Adv Neural Inf Process Syst"},{"key":"4231_CR33","doi-asserted-by":"crossref","unstructured":"Pratiwi H, Windarto AP, Susliansyah S, Aria RR, Susilowati S, Rahayu LK, Fitriani Y, Merdekawati A, Rahadjeng IR. Sigmoid activation function in selecting the best model of artificial neural networks. In: Journal of Physics: Conference Series, vol. 1471, no. 1. IOP Publishing; 2020. p. 012010.","DOI":"10.1088\/1742-6596\/1471\/1\/012010"},{"key":"4231_CR34","first-page":"1024","volume":"30","author":"W Hamilton","year":"2017","unstructured":"Hamilton W, Ying Z, Leskovec J. Inductive representation learning on large graphs. Adv Neural Inf Process Syst. 2017;30:1024\u201334.","journal-title":"Adv Neural Inf Process Syst"},{"key":"4231_CR35","unstructured":"GroupLens. MovieLens 1 million dataset. 2003. https:\/\/grouplens.org\/datasets\/movielens\/1m."},{"key":"4231_CR36","unstructured":"Satori. Knowledge graph created and maintained by Satori. n.d. Google, Freebase Dumps. https:\/\/developers.google.com\/freebase\/data."},{"key":"4231_CR37","unstructured":"Seyednezhad SM, Cozart KN, Bowllan JA, Smith AO. A review on recommendation systems: context-aware to social-based. 2018. arXiv preprint arXiv:1811.11866."},{"issue":"3","key":"4231_CR38","doi-asserted-by":"publisher","DOI":"10.1017\/S0960129512000783","volume":"24","author":"A Lesne","year":"2014","unstructured":"Lesne A. Shannon entropy: a rigorous notion at the crossroads between probability, information theory, dynamical systems and statistical physics. Math Struct Comput Sci. 2014;24(3): e240311.","journal-title":"Math Struct Comput Sci"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-025-04231-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-025-04231-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-025-04231-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T01:30:54Z","timestamp":1757295054000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-025-04231-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,26]]},"references-count":38,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2025,8]]}},"alternative-id":["4231"],"URL":"https:\/\/doi.org\/10.1007\/s42979-025-04231-7","relation":{},"ISSN":["2661-8907"],"issn-type":[{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,26]]},"assertion":[{"value":"31 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 July 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 July 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no competing financial interests or personal relationships that could potentially bias the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"691"}}