{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:33:54Z","timestamp":1743089634042,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":29,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811685309"},{"type":"electronic","value":"9789811685316"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-981-16-8531-6_6","type":"book-chapter","created":{"date-parts":[[2021,12,8]],"date-time":"2021-12-08T06:04:38Z","timestamp":1638943478000},"page":"72-85","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["HFM++: An Enhanced Holographic Factorization Machine for Recommendation"],"prefix":"10.1007","author":[{"given":"Zhengxin","family":"Fang","sequence":"first","affiliation":[]},{"given":"Mingcheng","family":"Qu","sequence":"additional","affiliation":[]},{"given":"Shuai","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jingyu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yi","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Lina","family":"Yao","sequence":"additional","affiliation":[]},{"given":"Shiping","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,12,9]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Bai, R., Zhu, H., Ni, Y., Chen, Y., Zheng, Q.: Autocot-autoencoder based cooperative training for sparse recommendation. In: 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE), pp. 257\u2013262. IEEE (2018)","DOI":"10.1109\/ICEBE.2018.00049"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Chen, H., Shi, S., Li, Y., Zhang, Y.: Neural collaborative reasoning. In: Proceedings of the Web Conference 2021, pp. 1516\u20131527 (2021)","DOI":"10.1145\/3442381.3449973"},{"key":"6_CR3","unstructured":"Chen, T., Li, H., Yang, Q., Yu, Y.: General functional matrix factorization using gradient boosting. In: International Conference on Machine Learning, pp. 436\u2013444. PMLR (2013)"},{"issue":"2","key":"6_CR4","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1147\/rd.132.0156","volume":"13","author":"D G\u00e1bor","year":"1969","unstructured":"G\u00e1bor, D.: Associative holographic memories. IBM J. Res. Dev. 13(2), 156\u2013159 (1969)","journal-title":"IBM J. Res. Dev."},{"issue":"12","key":"6_CR5","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1145\/138859.138867","volume":"35","author":"D Goldberg","year":"1992","unstructured":"Goldberg, D., Nichols, D., Oki, B.M., Terry, D.: Using collaborative filtering to weave an information tapestry. Commun. ACM 35(12), 61\u201370 (1992)","journal-title":"Commun. ACM"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Guo, H., Tang, R., Ye, Y., Li, Z., He, X.: Deepfm: a factorization-machine based neural network for CTR prediction (2017). arXiv preprint arXiv:1703.04247","DOI":"10.24963\/ijcai.2017\/239"},{"key":"6_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, pp. 173\u2013182 (2017)","DOI":"10.1145\/3038912.3052569"},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Juan, Y., Zhuang, Y., Chin, W.S., Lin, C.J.: Field-aware factorization machines for CTR prediction. In: Proceedings of the 10th ACM Conference on Recommender Systems, pp. 43\u201350 (2016)","DOI":"10.1145\/2959100.2959134"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Koren, Y.: Factorization meets the neighborhood: a multifaceted collaborative filtering model. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 426\u2013434 (2008)","DOI":"10.1145\/1401890.1401944"},{"issue":"4","key":"6_CR10","first-page":"28","volume":"7","author":"K Lin","year":"2021","unstructured":"Lin, K., Li, B.: Collaborative and content-based filtering with data from movielen. Int. Core J. Eng. 7(4), 28\u201330 (2021)","journal-title":"Int. Core J. Eng."},{"key":"6_CR11","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. Supp. Syst. 74, 12\u201332 (2015)","journal-title":"Decis. Supp. Syst."},{"issue":"1","key":"6_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.physrep.2012.02.006","volume":"519","author":"L L\u00fc","year":"2012","unstructured":"L\u00fc, L., Medo, M., Yeung, C.H., Zhang, Y.C., Zhang, Z.K., Zhou, T.: Recommender systems. Phys. Rep. 519(1), 1\u201349 (2012)","journal-title":"Phys. Rep."},{"key":"6_CR13","first-page":"1257","volume":"20","author":"A Mnih","year":"2007","unstructured":"Mnih, A., Salakhutdinov, R.R.: Probabilistic matrix factorization. Adv. Neural Inf. Process. Syst. 20, 1257\u20131264 (2007)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Pasricha, R., McAuley, J.: Translation-based factorization machines for sequential recommendation. In: Proceedings of the 12th ACM Conference on Recommender Systems, pp. 63\u201371 (2018)","DOI":"10.1145\/3240323.3240356"},{"issue":"3","key":"6_CR15","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1109\/72.377968","volume":"6","author":"TA Plate","year":"1995","unstructured":"Plate, T.A.: Holographic reduced representations. IEEE Trans. Neural Netw. 6(3), 623\u2013641 (1995)","journal-title":"IEEE Trans. Neural Netw."},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"Rendle, S.: Factorization machines. In: 2010 IEEE International Conference on Data Mining, pp. 995\u20131000. IEEE (2010)","DOI":"10.1109\/ICDM.2010.127"},{"issue":"3","key":"6_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2168752.2168771","volume":"3","author":"S Rendle","year":"2012","unstructured":"Rendle, S.: Factorization machines with libfm. ACM Trans. Intell. Syst. Technol. (TIST) 3(3), 1\u201322 (2012)","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"key":"6_CR18","doi-asserted-by":"crossref","unstructured":"Rendle, S., Gantner, Z., Freudenthaler, C., Schmidt-Thieme, L.: Fast context-aware recommendations with factorization machines. In: Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 635\u2013644 (2011)","DOI":"10.1145\/2009916.2010002"},{"issue":"3","key":"6_CR19","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1145\/245108.245121","volume":"40","author":"P Resnick","year":"1997","unstructured":"Resnick, P., Varian, H.R.: Recommender systems. Commun. ACM 40(3), 56\u201358 (1997)","journal-title":"Commun. ACM"},{"key":"6_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-0-387-85820-3_1","volume-title":"Recommender Systems Handbook","author":"F Ricci","year":"2011","unstructured":"Ricci, F., Rokach, L., Shapira, B.: Introduction to recommender systems handbook. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 1\u201335. Springer, Boston, MA (2011). https:\/\/doi.org\/10.1007\/978-0-387-85820-3_1"},{"key":"6_CR21","doi-asserted-by":"crossref","unstructured":"Salakhutdinov, R., Mnih, A., Hinton, G.: Restricted Boltzmann Machines for collaborative filtering. In: Proceedings of the 24th International Conference on Machine Learning, pp. 791\u2013798 (2007)","DOI":"10.1145\/1273496.1273596"},{"key":"6_CR22","doi-asserted-by":"crossref","unstructured":"Schafer, J.B., Konstan, J., Riedl, J.: Recommender systems in e-commerce. In: Proceedings of the 1st ACM Conference on Electronic Commerce, pp. 158\u2013166 (1999)","DOI":"10.1145\/336992.337035"},{"key":"6_CR23","doi-asserted-by":"crossref","unstructured":"Song, W., et al.: Autoint: Automatic feature interaction learning via self-attentive neural networks. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 1161\u20131170 (2019)","DOI":"10.1145\/3357384.3357925"},{"key":"6_CR24","doi-asserted-by":"crossref","unstructured":"Tay, Y., Luu, A.T., Hui, S.C.: Multi-pointer co-attention networks for recommendation. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 2309\u20132318 (2018)","DOI":"10.1145\/3219819.3220086"},{"key":"6_CR25","doi-asserted-by":"crossref","unstructured":"Tay, Y., Zhang, S., Luu, A.T., Hui, S.C., Yao, L., Vinh, T.D.Q.: Holographic factorization machines for recommendation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, pp. 5143\u20135150 (2019)","DOI":"10.1609\/aaai.v33i01.33015143"},{"key":"6_CR26","doi-asserted-by":"crossref","unstructured":"Xiao, J., Ye, H., He, X., Zhang, H., Wu, F., Chua, T.S.: Attentional factorization machines: Learning the weight of feature interactions via attention networks (2017). arXiv preprint arXiv:1708.04617","DOI":"10.24963\/ijcai.2017\/435"},{"key":"6_CR27","doi-asserted-by":"crossref","unstructured":"Yao, Q., Wang, Y., Kwok, J.T.: A scalable, adaptive and sound nonconvex regularizer for low-rank matrix completion. arXiv e-prints pp. arXiv-2008 (2020)","DOI":"10.1145\/3442381.3450142"},{"key":"6_CR28","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zhu, Z., He, Y., Caverlee, J.: Content-collaborative disentanglement representation learning for enhanced recommendation. In: Fourteenth ACM Conference on Recommender Systems, pp. 43\u201352 (2020)","DOI":"10.1145\/3383313.3412239"},{"key":"6_CR29","doi-asserted-by":"crossref","unstructured":"Zheng, L., Noroozi, V., Yu, P.S.: Joint deep modeling of users and items using reviews for recommendation. In: Proceedings of the tenth ACM International Conference on Web Search and Data Mining, pp. 425\u2013434 (2017)","DOI":"10.1145\/3018661.3018665"}],"container-title":["Communications in Computer and Information Science","Data Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-16-8531-6_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T15:10:15Z","timestamp":1648739415000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-16-8531-6_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9789811685309","9789811685316"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-981-16-8531-6_6","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"9 December 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AusDM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Conference on Data Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brisbane, QLD","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ausdm2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ausdm21.ausdm.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}