{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,7]],"date-time":"2026-06-07T07:24:43Z","timestamp":1780817083716,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3411947","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T05:31:04Z","timestamp":1603085464000},"page":"1405-1414","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":232,"title":["Multi-modal Knowledge Graphs for Recommender Systems"],"prefix":"10.1145","author":[{"given":"Rui","family":"Sun","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuezhi","family":"Cao","sequence":"additional","affiliation":[{"name":"Meituan-Dianping Group, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Aalborg University, Aalborg, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junchen","family":"Wan","sequence":"additional","affiliation":[{"name":"Meituan-Dianping Group, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Zhou","sequence":"additional","affiliation":[{"name":"Renmin University of China, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fuzheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Meituan-Dianping Group, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongyuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Meituan-Dianping Group, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Zheng","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Sanjeev Arora Yingyu Liang and Tengyu Ma. 2016. A simple but tough-to-beat baseline for sentence embeddings. (2016).  Sanjeev Arora Yingyu Liang and Tengyu Ma. 2016. A simple but tough-to-beat baseline for sentence embeddings. (2016)."},{"key":"e_1_3_2_2_2_1","unstructured":"Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Ok-sana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795.  Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Ok-sana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787--2795."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_2_4_1","volume-title":"Proceedings of the thirteenth international conference on artificial intelligence and statistics. 249--256","author":"Glorot Xavier","year":"2010","unstructured":"Xavier Glorot and Yoshua Bengio . 2010 . Understanding the difficulty of training deep feed forward neural networks . In Proceedings of the thirteenth international conference on artificial intelligence and statistics. 249--256 . Xavier Glorot and Yoshua Bengio. 2010. Understanding the difficulty of training deep feed forward neural networks. In Proceedings of the thirteenth international conference on artificial intelligence and statistics. 249--256."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-02925-8_25"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080777"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298932"},{"key":"e_1_3_2_2_9_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014).","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980(2014)."},{"key":"e_1_3_2_2_10_1","unstructured":"Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907(2016).  Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907(2016)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2932466"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/2886521.2886624"},{"key":"e_1_3_2_2_14_1","volume-title":"Paul Pu Liang,Amir Zadeh, and Louis-Philippe Morency.","author":"Liu Zhun","year":"2018","unstructured":"Zhun Liu , Ying Shen , Varun Bharadhwaj Lakshminarasimhan , Paul Pu Liang,Amir Zadeh, and Louis-Philippe Morency. 2018 . Efficient low-rank multimodal fusion with modality-specific factors.arXiv preprint arXiv:1806.00064(2018). Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, Paul Pu Liang,Amir Zadeh, and Louis-Philippe Morency. 2018. Efficient low-rank multimodal fusion with modality-specific factors.arXiv preprint arXiv:1806.00064(2018)."},{"key":"e_1_3_2_2_15_1","unstructured":"Andrew L Maas Awni Y Hannun and Andrew Y Ng. [n.d.]. Rectifier nonlinearities improve neural network acoustic models.  Andrew L Maas Awni Y Hannun and Andrew Y Ng. [n.d.]. Rectifier nonlinearities improve neural network acoustic models."},{"key":"e_1_3_2_2_16_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013.Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119.  Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013.Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/S18-2027"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2053"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1359"},{"key":"e_1_3_2_2_20_1","volume-title":"BPR: Bayesian personalized ranking from implicit feedback.arXiv preprintarXiv:1205.2618(2012).","author":"Rendle Steffen","year":"2012","unstructured":"Steffen Rendle , Christoph Freudenthaler , Zeno Gantner , and Lars Schmidt-Thieme . 2012 . BPR: Bayesian personalized ranking from implicit feedback.arXiv preprintarXiv:1205.2618(2012). Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2012. BPR: Bayesian personalized ranking from implicit feedback.arXiv preprintarXiv:1205.2618(2012)."},{"key":"e_1_3_2_2_21_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is allyou need. In Advances in neural information processing systems. 5998--6008.  Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is allyou need. In Advances in neural information processing systems. 5998--6008."},{"key":"e_1_3_2_2_22_1","unstructured":"Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio and Yoshua Bengio. 2017. Graph attention networks.arXiv preprintarXiv:1710.10903(2017).  Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio and Yoshua Bengio. 2017. Graph attention networks.arXiv preprintarXiv:1710.10903(2017)."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159666"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271739"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186175"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330836"},{"key":"e_1_3_2_2_27_1","volume-title":"Knowledge graph embedding: A survey of approaches and applications","author":"Wang Quan","year":"2017","unstructured":"Quan Wang , Zhendong Mao , Bin Wang , and Li Guo . 2017. Knowledge graph embedding: A survey of approaches and applications .IEEE Transactions on Knowledge and Data Engineering 29, 12 ( 2017 ), 2724--2743. Quan Wang, Zhendong Mao, Bin Wang, and Li Guo. 2017. Knowledge graph embedding: A survey of approaches and applications.IEEE Transactions on Knowledge and Data Engineering 29, 12 (2017), 2724--2743."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330989"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351034"},{"key":"e_1_3_2_2_30_1","unstructured":"Ruobing Xie Zhiyuan Liu Huanbo Luan and Maosong Sun. 2016. Image-embodied knowledge representation learning. arXiv preprint arXiv:1609.07028(2016).  Ruobing Xie Zhiyuan Liu Huanbo Luan and Maosong Sun. 2016. Image-embodied knowledge representation learning. arXiv preprint arXiv:1609.07028(2016)."},{"key":"e_1_3_2_2_31_1","unstructured":"Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Kenichi Kawarabayashi and Stefanie Jegelka. 2018. Representation learning on graphs with jumping knowledge networks. arXiv preprint arXiv:1806.03536(2018).  Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Kenichi Kawarabayashi and Stefanie Jegelka. 2018. Representation learning on graphs with jumping knowledge networks. arXiv preprint arXiv:1806.03536(2018)."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.10"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2556195.2556259"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"crossref","unstructured":"Amir Zadeh Minghai Chen Soujanya Poria Erik Cambria and Louis-Philippe Morency. 2017. Tensor fusion network for multimodal sentiment analysis. arXiv preprint arXiv:1707.07250(2017).  Amir Zadeh Minghai Chen Soujanya Poria Erik Cambria and Louis-Philippe Morency. 2017. Tensor fusion network for multimodal sentiment analysis. arXiv preprint arXiv:1707.07250(2017).","DOI":"10.18653\/v1\/D17-1115"},{"key":"e_1_3_2_2_35_1","volume-title":"Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. 353--362","author":"Zhang Fuzheng","unstructured":"Fuzheng Zhang , Nicholas Jing Yuan , Defu Lian , Xing Xie , and Wei-Ying Ma .2016. Collaborative knowledge base embedding for recommender systems . In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. 353--362 . Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, and Wei-Ying Ma.2016. Collaborative knowledge base embedding for recommender systems. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. 353--362."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098063"}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Ireland","acronym":"CIKM '20","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411947","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3411947","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:22Z","timestamp":1750197682000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411947"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":36,"alternative-id":["10.1145\/3340531.3411947","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3411947","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}