{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T16:28:34Z","timestamp":1784910514894,"version":"3.55.0"},"reference-count":125,"publisher":"Springer Science and Business Media LLC","issue":"35","license":[{"start":{"date-parts":[[2023,10,5]],"date-time":"2023-10-05T00:00:00Z","timestamp":1696464000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,10,5]],"date-time":"2023-10-05T00:00:00Z","timestamp":1696464000000},"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":["Neural Comput & Applic"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s00521-023-08958-3","type":"journal-article","created":{"date-parts":[[2023,10,5]],"date-time":"2023-10-05T11:01:29Z","timestamp":1696503689000},"page":"24783-24827","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Deep learning-based collaborative filtering recommender systems: a comprehensive and systematic review"],"prefix":"10.1007","volume":"35","author":[{"given":"Atena","family":"Torkashvand","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9407-665X","authenticated-orcid":false,"given":"Seyed Mahdi","family":"Jameii","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akram","family":"Reza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,10,5]]},"reference":[{"issue":"1","key":"8958_CR1","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1023\/A:1009804230409","volume":"5","author":"JB Schafer","year":"2001","unstructured":"Schafer JB, Konstan JA, Riedl J (2001) E-commerce recommendation applications. Data Min Knowl Disc 5(1):115\u2013153","journal-title":"Data Min Knowl Disc"},{"key":"8958_CR2","volume-title":"Probabilistic methods for financial and marketing informatics","author":"RE Neapolitan","year":"2010","unstructured":"Neapolitan RE, Jiang X (2010) Probabilistic methods for financial and marketing informatics. Elsevier, London"},{"key":"8958_CR3","doi-asserted-by":"crossref","first-page":"102531","DOI":"10.1016\/j.jnca.2020.102531","volume":"153","author":"M Rahimi","year":"2020","unstructured":"Rahimi M, Songhorabadi M, Kashani MH (2020) Fog-based smart homes: a systematic review. J Netw Comput Appl 153:102531","journal-title":"J Netw Comput Appl"},{"key":"8958_CR4","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.1007\/s11831-021-09616-4","volume":"29","author":"M Fathi","year":"2021","unstructured":"Fathi M, Haghi Kashani M, Jameii SM, Mahdipour E (2021) Big data analytics in weather forecasting: a systematic review. Arch Comput Methods Eng 29:1247\u20131275","journal-title":"Arch Comput Methods Eng"},{"issue":"1","key":"8958_CR5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10462-018-9654-y","volume":"52","author":"Z Batmaz","year":"2019","unstructured":"Batmaz Z, Yurekli A, Bilge A, Kaleli C (2019) A review on deep learning for recommender systems: challenges and remedies. Artif Intell Rev 52(1):1\u201337","journal-title":"Artif Intell Rev"},{"key":"8958_CR6","doi-asserted-by":"crossref","first-page":"69009","DOI":"10.1109\/ACCESS.2018.2880197","volume":"6","author":"R Mu","year":"2018","unstructured":"Mu R (2018) A survey of recommender systems based on deep learning. IEEE Access 6:69009\u201369022","journal-title":"IEEE Access"},{"issue":"2","key":"8958_CR7","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1007\/s11704-018-8052-6","volume":"14","author":"G Zhang","year":"2020","unstructured":"Zhang G, Liu Y, Jin X (2020) A survey of autoencoder-based recommender systems. Front Comput Sci 14(2):430\u2013450","journal-title":"Front Comput Sci"},{"issue":"1","key":"8958_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3158369","volume":"52","author":"S Zhang","year":"2019","unstructured":"Zhang S, Yao L, Sun A, Tay Y (2019) Deep learning based recommender system: a survey and new perspectives. ACM Comput Surv (CSUR) 52(1):1\u201338","journal-title":"ACM Comput Surv (CSUR)"},{"issue":"1","key":"8958_CR9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3426723","volume":"39","author":"H Fang","year":"2020","unstructured":"Fang H, Zhang D, Shu Y, Guo G (2020) Deep learning for sequential recommendation: algorithms, influential factors, and evaluations. ACM Trans Inf Syst (TOIS) 39(1):1\u201342","journal-title":"ACM Trans Inf Syst (TOIS)"},{"key":"8958_CR10","doi-asserted-by":"crossref","first-page":"113790","DOI":"10.1016\/j.eswa.2020.113790","volume":"162","author":"Z Ali","year":"2020","unstructured":"Ali Z, Kefalas P, Muhammad K, Ali B, Imran M (2020) Deep learning in citation recommendation models survey. Expert Syst Appl 162:113790","journal-title":"Expert Syst Appl"},{"issue":"4","key":"8958_CR11","doi-asserted-by":"crossref","first-page":"2709","DOI":"10.1007\/s10462-019-09744-1","volume":"53","author":"A Da\u2019u","year":"2020","unstructured":"Da\u2019u A, Salim N (2020) Recommendation system based on deep learning methods: a systematic review and new directions. Artif Intell Rev 53(4):2709\u20132748","journal-title":"Artif Intell Rev"},{"issue":"1","key":"8958_CR12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12879-020-05706-z","volume":"21","author":"T Yin","year":"2021","unstructured":"Yin T, Li Y, Ying Y, Luo Z (2021) Prevalence of comorbidity in Chinese patients with COVID-19: systematic review and meta-analysis of risk factors. BMC Infect Dis 21(1):1\u201313","journal-title":"BMC Infect Dis"},{"key":"8958_CR13","doi-asserted-by":"crossref","first-page":"101517","DOI":"10.1016\/j.tele.2020.101517","volume":"57","author":"SB Abkenar","year":"2021","unstructured":"Abkenar SB, Kashani MH, Mahdipour E, Jameii SM (2021) Big data analytics meets social media: a systematic review of techniques, open issues, and future directions. Telemat Inform 57:101517","journal-title":"Telemat Inform"},{"issue":"4","key":"8958_CR14","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1016\/j.jss.2006.07.009","volume":"80","author":"P Brereton","year":"2007","unstructured":"Brereton P, Kitchenham BA, Budgen D, Turner M, Khalil M (2007) Lessons from applying the systematic literature review process within the software engineering domain. J Syst Softw 80(4):571\u2013583","journal-title":"J Syst Softw"},{"key":"8958_CR15","doi-asserted-by":"crossref","unstructured":"Calero C, Bertoa MF, & Moraga M\u00c1 (2013, May) A systematic literature review for software sustainability measures. In: 2013 2nd international workshop on green and sustainable software (GREENS)\u00a0(pp. 46\u201353). IEEE","DOI":"10.1109\/GREENS.2013.6606421"},{"key":"8958_CR16","doi-asserted-by":"crossref","unstructured":"Sarwar B, Karypis G, Konstan J, & Riedl J (2001, April) Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th international conference on World Wide Web\u00a0(pp 285\u2013295)","DOI":"10.1145\/371920.372071"},{"key":"8958_CR17","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.knosys.2013.03.012","volume":"46","author":"J Bobadilla","year":"2013","unstructured":"Bobadilla J, Ortega F, Hernando A, Guti\u00e9rrez A (2013) Recommender systems survey. Knowl-based Syst 46:109\u2013132","journal-title":"Knowl-based Syst"},{"key":"8958_CR18","first-page":"19","volume":"2009","author":"X Su","year":"2009","unstructured":"Su X, Khoshgoftaar TM (2009) A survey of collaborative filtering techniques. Adv Artif Intell 2009:19","journal-title":"Adv Artif Intell"},{"key":"8958_CR19","doi-asserted-by":"crossref","unstructured":"Resnick P, Iacovou N, Suchak M, Bergstrom P, & Riedl J (1994, October) Grouplens: an open architecture for collaborative filtering of netnews. In: Proceedings of the 1994 ACM conference on Computer supported cooperative work\u00a0(pp 175\u2013186)","DOI":"10.1145\/192844.192905"},{"issue":"7","key":"8958_CR20","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1016\/j.engappai.2005.06.010","volume":"18","author":"M Papagelis","year":"2005","unstructured":"Papagelis M, Plexousakis D (2005) Qualitative analysis of user-based and item-based prediction algorithms for recommendation agents. Eng Appl Artif Intell 18(7):781\u2013789","journal-title":"Eng Appl Artif Intell"},{"key":"8958_CR21","doi-asserted-by":"crossref","first-page":"1279","DOI":"10.1016\/j.ins.2019.10.038","volume":"512","author":"A Da\u2019u","year":"2020","unstructured":"Da\u2019u A, Salim N, Rabiu I, Osman A (2020) Recommendation system exploiting aspect-based opinion mining with deep learning method. Inf Sci 512:1279\u20131292","journal-title":"Inf Sci"},{"key":"8958_CR22","doi-asserted-by":"crossref","first-page":"105020","DOI":"10.1016\/j.knosys.2019.105020","volume":"185","author":"R Yin","year":"2019","unstructured":"Yin R, Li K, Zhang G, Lu J (2019) A deeper graph neural network for recommender systems. Knowl-Based Syst 185:105020","journal-title":"Knowl-Based Syst"},{"key":"8958_CR23","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.neucom.2019.09.050","volume":"383","author":"J Chen","year":"2020","unstructured":"Chen J, Wang X, Zhao S, Qian F, Zhang Y (2020) Deep attention user-based collaborative filtering for recommendation. Neurocomputing 383:57\u201368","journal-title":"Neurocomputing"},{"issue":"5","key":"8958_CR24","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1007\/s12650-019-00583-4","volume":"22","author":"C Yang","year":"2019","unstructured":"Yang C, Li Y, Liu C, Yuan X (2019) Deep learning-based viewpoint recommendation in volume visualization. J Vis 22(5):991\u20131003","journal-title":"J Vis"},{"key":"8958_CR25","doi-asserted-by":"crossref","first-page":"10693","DOI":"10.1109\/ACCESS.2019.2958599","volume":"8","author":"J Gong","year":"2019","unstructured":"Gong J, Zhao Y, Chen S, Wang H, Du L, Wang S, Du B (2019) Hybrid deep neural networks for friend recommendations in edge computing environment. IEEE Access 8:10693\u201310706","journal-title":"IEEE Access"},{"issue":"6","key":"8958_CR26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3359554","volume":"13","author":"Y Lei","year":"2019","unstructured":"Lei Y, Li W (2019) Interactive recommendation with user-specific deep reinforcement learning. ACM Trans Knowl Discov Data (TKDD) 13(6):1\u201315","journal-title":"ACM Trans Knowl Discov Data (TKDD)"},{"key":"8958_CR27","doi-asserted-by":"crossref","first-page":"106545","DOI":"10.1016\/j.knosys.2020.106545","volume":"211","author":"Q Shambour","year":"2021","unstructured":"Shambour Q (2021) A deep learning based algorithm for multi-criteria recommender systems. Knowl-Based Syst 211:106545","journal-title":"Knowl-Based Syst"},{"key":"8958_CR28","doi-asserted-by":"crossref","first-page":"106706","DOI":"10.1016\/j.knosys.2020.106706","volume":"213","author":"L Huang","year":"2021","unstructured":"Huang L, Fu M, Li F, Qu H, Liu Y, Chen W (2021) A deep reinforcement learning based long-term recommender system. Knowl-Based Syst 213:106706","journal-title":"Knowl-Based Syst"},{"key":"8958_CR29","first-page":"102493","volume":"52","author":"Q Zhou","year":"2020","unstructured":"Zhou Q, Wu J, Duan L (2020) Recommendation attack detection based on deep learning. J Inf Secur Appl 52:102493","journal-title":"J Inf Secur Appl"},{"key":"8958_CR30","first-page":"1","volume":"33","author":"N Sivaramakrishnan","year":"2020","unstructured":"Sivaramakrishnan N, Subramaniyaswamy V, Viloria A, Vijayakumar V, Senthilselvan N (2020) A deep learning-based hybrid model for recommendation generation and ranking. Neural Comput Appl 33:1\u201318","journal-title":"Neural Comput Appl"},{"key":"8958_CR31","doi-asserted-by":"crossref","first-page":"106985","DOI":"10.1016\/j.asoc.2020.106985","volume":"100","author":"PAB Dezfouli","year":"2021","unstructured":"Dezfouli PAB, Momtazi S, Dehghan M (2021) Deep neural review text interaction for recommendation systems. Appl Soft Comput 100:106985","journal-title":"Appl Soft Comput"},{"key":"8958_CR32","doi-asserted-by":"crossref","unstructured":"Pang L, Lan Y, Guo J, Xu J, Wan S, & Cheng X (2016, March) Text matching as image recognition. In: Proceedings of the AAAI Conference on Artificial Intelligence\u00a0(Vol 30, No. 1)","DOI":"10.1609\/aaai.v30i1.10341"},{"issue":"1","key":"8958_CR33","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1109\/TCSS.2020.2987846","volume":"8","author":"X Zhou","year":"2020","unstructured":"Zhou X, Liang W, Kevin I, Wang K, Yang LT (2020) Deep correlation mining based on hierarchical hybrid networks for heterogeneous big data recommendations. IEEE Trans Comput Soc Syst 8(1):171\u2013178","journal-title":"IEEE Trans Comput Soc Syst"},{"issue":"3","key":"8958_CR34","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1109\/TCSS.2020.2974534","volume":"7","author":"Z Huang","year":"2020","unstructured":"Huang Z, Lin X, Liu H, Zhang B, Chen Y, Tang Y (2020) Deep representation learning for location-based recommendation. IEEE Trans Comput Soc Syst 7(3):648\u2013658","journal-title":"IEEE Trans Comput Soc Syst"},{"issue":"6","key":"8958_CR35","doi-asserted-by":"crossref","first-page":"3125","DOI":"10.1007\/s11280-020-00824-9","volume":"23","author":"T Zhong","year":"2020","unstructured":"Zhong T, Zhang S, Zhou F, Zhang K, Trajcevski G, Wu J (2020) Hybrid graph convolutional networks with multi-head attention for location recommendation. World Wide Web 23(6):3125\u20133151","journal-title":"World Wide Web"},{"key":"8958_CR36","first-page":"1","volume":"38","author":"TM Selvi","year":"2021","unstructured":"Selvi TM, Kavitha V (2021) A privacy-aware deep learning framework for health recommendation system on analysis of big data. Vis Comput 38:1\u201319","journal-title":"Vis Comput"},{"issue":"5","key":"8958_CR37","doi-asserted-by":"crossref","first-page":"1607","DOI":"10.1007\/s00521-020-05085-1","volume":"33","author":"H Tahmasebi","year":"2021","unstructured":"Tahmasebi H, Ravanmehr R, Mohamadrezaei R (2021) Social movie recommender system based on deep autoencoder network using Twitter data. Neural Comput Appl 33(5):1607\u20131623","journal-title":"Neural Comput Appl"},{"issue":"3","key":"8958_CR38","first-page":"1","volume":"40","author":"Q Xie","year":"2021","unstructured":"Xie Q, Zhu Y, Huang J, Du P, Nie JY (2021) Graph neural collaborative topic model for citation recommendation. ACM Trans Inf Syst (TOIS) 40(3):1\u201330","journal-title":"ACM Trans Inf Syst (TOIS)"},{"issue":"2","key":"8958_CR39","first-page":"1","volume":"19","author":"Y Li","year":"2022","unstructured":"Li Y, Li K, Wei W, Zhou T, Chen C (2022) CoRec: an efficient internet behavior-based recommendation framework with edge-cloud collaboration on deep convolution neural networks. ACM Trans Sens Netw 19(2):1\u201328","journal-title":"ACM Trans Sens Netw"},{"key":"8958_CR40","doi-asserted-by":"crossref","first-page":"109934","DOI":"10.1016\/j.knosys.2022.109934","volume":"257","author":"PMT Do","year":"2022","unstructured":"Do PMT, Nguyen TTS (2022) Semantic-enhanced neural collaborative filtering models in recommender systems. Knowl-Based Syst 257:109934","journal-title":"Knowl-Based Syst"},{"issue":"5","key":"8958_CR41","doi-asserted-by":"crossref","first-page":"7410","DOI":"10.1007\/s11227-021-04178-5","volume":"78","author":"S Jalali","year":"2022","unstructured":"Jalali S, Hosseini M (2022) Collaborative filtering in dynamic networks based on deep auto-encoder. J Supercomput 78(5):7410\u20137427","journal-title":"J Supercomput"},{"issue":"6","key":"8958_CR42","doi-asserted-by":"crossref","first-page":"3796","DOI":"10.1109\/TSMC.2019.2931723","volume":"51","author":"Y Zhang","year":"2019","unstructured":"Zhang Y, Yin C, Wu Q, He Q, Zhu H (2019) Location-aware deep collaborative filtering for service recommendation. IEEE Trans Syst, Man, Cybern Syst 51(6):3796\u20133807","journal-title":"IEEE Trans Syst, Man, Cybern Syst"},{"key":"8958_CR43","doi-asserted-by":"crossref","first-page":"112871","DOI":"10.1016\/j.eswa.2019.112871","volume":"140","author":"A Da\u2019u","year":"2020","unstructured":"Da\u2019u A, Salim N, Rabiu I, Osman A (2020) Weighted aspect-based opinion mining using deep learning for recommender system. Expert Syst Appl 140:112871","journal-title":"Expert Syst Appl"},{"issue":"4","key":"8958_CR44","first-page":"665","volume":"22","author":"G Bathla","year":"2019","unstructured":"Bathla G, Aggarwal H, Rani R (2019) Using deep learning to improve recommendation with direct and indirect social trust. J Stat Manag Syst 22(4):665\u2013677","journal-title":"J Stat Manag Syst"},{"issue":"4","key":"8958_CR45","doi-asserted-by":"crossref","first-page":"7319","DOI":"10.1109\/JIOT.2019.2916143","volume":"6","author":"Y Liu","year":"2019","unstructured":"Liu Y, Guo B, Li N, Zhang J, Chen J, Zhang D, Yao L (2019) DeepStore: an interaction-aware wide&deep model for store site recommendation with attentional spatial embeddings. IEEE Internet Things J 6(4):7319\u20137333","journal-title":"IEEE Internet Things J"},{"issue":"3","key":"8958_CR46","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3314578","volume":"37","author":"F Xue","year":"2019","unstructured":"Xue F, He X, Wang X, Xu J, Liu K, Hong R (2019) Deep item-based collaborative filtering for top-n recommendation. ACM Trans Inf Syst (TOIS) 37(3):1\u201325","journal-title":"ACM Trans Inf Syst (TOIS)"},{"key":"8958_CR47","doi-asserted-by":"crossref","first-page":"110783","DOI":"10.1016\/j.jss.2020.110783","volume":"170","author":"C Li","year":"2020","unstructured":"Li C, Xu L, Yan M, Lei Y (2020) TagDC: a tag recommendation method for software information sites with a combination of deep learning and collaborative filtering. J Syst Softw 170:110783","journal-title":"J Syst Softw"},{"key":"8958_CR48","doi-asserted-by":"crossref","first-page":"40485","DOI":"10.1109\/ACCESS.2020.2975167","volume":"8","author":"IM Al Jawarneh","year":"2020","unstructured":"Al Jawarneh IM, Bellavista P, Corradi A, Foschini L, Montanari R, Berrocal J, Murillo JM (2020) A pre-filtering approach for incorporating contextual information into deep learning based recommender systems. IEEE Access 8:40485\u201340498","journal-title":"IEEE Access"},{"issue":"6","key":"8958_CR49","first-page":"2562","volume":"34","author":"S Hiriyannaiah","year":"2020","unstructured":"Hiriyannaiah S, Siddesh GM, Srinivasa KG (2020) Deep visual ensemble similarity (DVESM) approach for visually aware recommendation and search in smart community. J King Saud Univ-Comput Inf Sci 34(6):2562\u20132573","journal-title":"J King Saud Univ-Comput Inf Sci"},{"issue":"4","key":"8958_CR50","doi-asserted-by":"crossref","first-page":"674","DOI":"10.23919\/JSEE.2020.000043","volume":"31","author":"WU Caihua","year":"2020","unstructured":"Caihua WU, Jianchao MA, Xiuwei Z, Dang X (2020) User space transformation in deep learning based recommendation. J Syst Eng Electron 31(4):674\u2013684","journal-title":"J Syst Eng Electron"},{"key":"8958_CR51","doi-asserted-by":"crossref","first-page":"41254","DOI":"10.1109\/ACCESS.2020.2976498","volume":"8","author":"X Wang","year":"2020","unstructured":"Wang X, Sheng Y, Deng H (2020) Joint deep network with auxiliary semantic learning for popular recommendation. IEEE Access 8:41254\u201341261","journal-title":"IEEE Access"},{"issue":"6","key":"8958_CR52","doi-asserted-by":"crossref","first-page":"4560","DOI":"10.1109\/JIOT.2020.3027586","volume":"8","author":"Y Xiao","year":"2020","unstructured":"Xiao Y, Xiao L, Lu X, Zhang H, Yu S, Poor HV (2020) Deep-reinforcement-learning-based user profile perturbation for privacy-aware recommendation. IEEE Internet Things J 8(6):4560\u20134568","journal-title":"IEEE Internet Things J"},{"issue":"19","key":"8958_CR53","doi-asserted-by":"crossref","first-page":"14531","DOI":"10.1007\/s00500-020-04803-0","volume":"24","author":"AR Sulthana","year":"2020","unstructured":"Sulthana AR, Gupta M, Subramanian S, Mirza S (2020) Improvising the performance of image-based recommendation system using convolution neural networks and deep learning. Soft Comput 24(19):14531\u201314544","journal-title":"Soft Comput"},{"issue":"3","key":"8958_CR54","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1007\/s10115-020-01528-2","volume":"63","author":"D Liu","year":"2021","unstructured":"Liu D, Li J, Du B, Chang J, Gao R, Wu Y (2021) A hybrid neural network approach to combine textual information and rating information for item recommendation. Knowl Inf Syst 63(3):621\u2013646","journal-title":"Knowl Inf Syst"},{"key":"8958_CR55","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00521-021-06493-7","volume":"34","author":"J Bobadilla","year":"2022","unstructured":"Bobadilla J, Gonz\u00e1lez-Prieto \u00c1, Ortega F, Lara-Cabrera R (2022) Deep learning approach to obtain collaborative filtering neighborhoods. Neural Comput Appl 34:1\u201313","journal-title":"Neural Comput Appl"},{"issue":"12","key":"8958_CR56","first-page":"8693","volume":"35","author":"P Yin","year":"2023","unstructured":"Yin P, Ji D, Yan H, Gan H, Zhang J (2023) Multimodal deep collaborative filtering recommendation based on dual attention. Neural Comput Appl 35(12):8693\u20138706","journal-title":"Neural Comput Appl"},{"issue":"2","key":"8958_CR57","first-page":"100028","volume":"1","author":"S Sharma","year":"2021","unstructured":"Sharma S, Rana V, Kumar V (2021) Deep learning based semantic personalized recommendation system. Int J Inf Manag Data Insights 1(2):100028","journal-title":"Int J Inf Manag Data Insights"},{"key":"8958_CR58","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1016\/j.eswa.2019.06.051","volume":"136","author":"S Yu","year":"2019","unstructured":"Yu S, Yang M, Qu Q, Shen Y (2019) Contextual-boosted deep neural collaborative filtering model for interpretable recommendation. Expert Syst Appl 136:365\u2013375","journal-title":"Expert Syst Appl"},{"key":"8958_CR59","doi-asserted-by":"crossref","first-page":"104811","DOI":"10.1016\/j.knosys.2019.06.019","volume":"187","author":"N Nassar","year":"2020","unstructured":"Nassar N, Jafar A, Rahhal Y (2020) A novel deep multi-criteria collaborative filtering model for recommendation system. Knowl-Based Syst 187:104811","journal-title":"Knowl-Based Syst"},{"key":"8958_CR60","doi-asserted-by":"crossref","first-page":"58519","DOI":"10.1109\/ACCESS.2019.2914500","volume":"7","author":"K Guo","year":"2019","unstructured":"Guo K, Yang C (2019) Temporal-spatial recommendation for caching at base stations via deep reinforcement learning. IEEE Access 7:58519\u201358532","journal-title":"IEEE Access"},{"key":"8958_CR61","doi-asserted-by":"crossref","first-page":"45472","DOI":"10.1109\/ACCESS.2019.2907729","volume":"7","author":"A Da\u2019u","year":"2019","unstructured":"Da\u2019u A, Salim N (2019) Sentiment-aware deep recommender system with neural attention networks. IEEE Access 7:45472\u201345484","journal-title":"IEEE Access"},{"issue":"4","key":"8958_CR62","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1007\/s13042-019-00981-y","volume":"11","author":"JW Bi","year":"2020","unstructured":"Bi JW, Liu Y, Fan ZP (2020) A deep neural networks based recommendation algorithm using user and item basic data. Int J Mach Learn Cybern 11(4):763\u2013777","journal-title":"Int J Mach Learn Cybern"},{"key":"8958_CR63","doi-asserted-by":"crossref","first-page":"113116","DOI":"10.1016\/j.eswa.2019.113116","volume":"145","author":"R Wang","year":"2019","unstructured":"Wang R, Cheng HK, Jiang Y, Lou J (2019) TDCF: a two-stage deep learning based recommendation model. Expert Syst Appl 145:113116","journal-title":"Expert Syst Appl"},{"issue":"8","key":"8958_CR64","doi-asserted-by":"crossref","first-page":"4591","DOI":"10.1109\/TII.2019.2893714","volume":"15","author":"B Yi","year":"2019","unstructured":"Yi B, Shen X, Liu H, Zhang Z, Zhang W, Liu S, Xiong N (2019) Deep matrix factorization with implicit feedback embedding for recommendation system. IEEE Trans Ind Inf 15(8):4591\u20134601","journal-title":"IEEE Trans Ind Inf"},{"key":"8958_CR65","doi-asserted-by":"crossref","first-page":"40333","DOI":"10.1109\/ACCESS.2019.2905534","volume":"7","author":"W Yan","year":"2019","unstructured":"Yan W, Wang D, Cao M, Liu J (2019) Deep auto encoder model with convolutional text networks for video recommendation. IEEE Access 7:40333\u201340346","journal-title":"IEEE Access"},{"key":"8958_CR66","doi-asserted-by":"crossref","first-page":"60186","DOI":"10.1109\/ACCESS.2019.2915531","volume":"7","author":"Q Wang","year":"2019","unstructured":"Wang Q, Peng B, Shi X, Shang T, Shang M (2019) DCCR: deep collaborative conjunctive recommender for rating prediction. IEEE Access 7:60186\u201360198","journal-title":"IEEE Access"},{"key":"8958_CR67","doi-asserted-by":"crossref","first-page":"55679","DOI":"10.1109\/ACCESS.2019.2913468","volume":"7","author":"X Deng","year":"2019","unstructured":"Deng X, Huangfu F (2019) Collaborative variational deep learning for healthcare recommendation. IEEE Access 7:55679\u201355688","journal-title":"IEEE Access"},{"issue":"6","key":"8958_CR68","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1007\/s11704-018-8049-1","volume":"13","author":"J He","year":"2019","unstructured":"He J, Zhuang F, Liu Y, He Q, Lin F (2019) Bayesian dual neural networks for recommendation. Front Comp Sci 13(6):1255\u20131265","journal-title":"Front Comp Sci"},{"issue":"8","key":"8958_CR69","doi-asserted-by":"crossref","first-page":"2575","DOI":"10.1007\/s00500-019-03807-9","volume":"23","author":"B Saravanan","year":"2019","unstructured":"Saravanan B, Mohanraj V, Senthilkumar J (2019) A fuzzy entropy technique for dimensionality reduction in recommender systems using deep learning. Soft Comput 23(8):2575\u20132583","journal-title":"Soft Comput"},{"key":"8958_CR70","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.neucom.2020.12.043","volume":"433","author":"A Da\u2019u","year":"2021","unstructured":"Da\u2019u A, Salim N, Idris R (2021) Multi-level attentive deep user-item representation learning for recommendation system. Neurocomputing 433:119\u2013130","journal-title":"Neurocomputing"},{"issue":"2","key":"8958_CR71","doi-asserted-by":"crossref","first-page":"102453","DOI":"10.1016\/j.ipm.2020.102453","volume":"58","author":"S Zhang","year":"2021","unstructured":"Zhang S, Liu H, He J, Han S, Du X (2021) A deep bi-directional prediction model for live streaming recommendation. Inf Process Manage 58(2):102453","journal-title":"Inf Process Manage"},{"key":"8958_CR72","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.neucom.2020.03.075","volume":"402","author":"ZY Khan","year":"2020","unstructured":"Khan ZY, Niu Z, Yousif A (2020) Joint deep recommendation model exploiting reviews and metadata information. Neurocomputing 402:256\u2013265","journal-title":"Neurocomputing"},{"issue":"4","key":"8958_CR73","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1049\/trit.2020.0031","volume":"5","author":"MF Aljunid","year":"2020","unstructured":"Aljunid MF, Huchaiah MD (2020) Multi-model deep learning approach for collaborative filtering recommendation system. CAAI Trans Intell Technol 5(4):268\u2013275","journal-title":"CAAI Trans Intell Technol"},{"key":"8958_CR74","doi-asserted-by":"crossref","first-page":"106681","DOI":"10.1016\/j.knosys.2020.106681","volume":"213","author":"A Da\u2019u","year":"2021","unstructured":"Da\u2019u A, Salim N, Idris R (2021) An adaptive deep learning method for item recommendation system. Knowl-Based Syst 213:106681","journal-title":"Knowl-Based Syst"},{"key":"8958_CR75","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1016\/j.neucom.2020.06.109","volume":"412","author":"J Jiang","year":"2020","unstructured":"Jiang J, Li W, Dong A, Gou Q, Luo X (2020) A Fast Deep AutoEncoder for high-dimensional and sparse matrices in recommender systems. Neurocomputing 412:381\u2013391","journal-title":"Neurocomputing"},{"issue":"2","key":"8958_CR76","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1504\/IJSNET.2020.110460","volume":"34","author":"J Fang","year":"2020","unstructured":"Fang J, Li B, Gao M (2020) Collaborative filtering recommendation algorithm based on deep neural network fusion. Int J Sens Netw 34(2):71\u201380","journal-title":"Int J Sens Netw"},{"issue":"12","key":"8958_CR77","doi-asserted-by":"crossref","first-page":"7291","DOI":"10.1007\/s00521-020-05494-2","volume":"33","author":"J Bobadilla","year":"2021","unstructured":"Bobadilla J, Gonz\u00e1lez-Prieto \u00c1, Ortega F, Lara-Cabrera R (2021) Deep learning feature selection to unhide demographic recommender systems factors. Neural Comput Appl 33(12):7291\u20137308","journal-title":"Neural Comput Appl"},{"issue":"7","key":"8958_CR78","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1631\/FITEE.1900236","volume":"21","author":"XN Wang","year":"2020","unstructured":"Wang XN, Tan QM (2020) DAN: a deep association neural network approach for personalization recommendation. Front Inf Technol Electron Eng 21(7):963\u2013980","journal-title":"Front Inf Technol Electron Eng"},{"key":"8958_CR79","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10489-020-02162-9","volume":"51","author":"S Mandal","year":"2021","unstructured":"Mandal S, Maiti A (2021) Deep collaborative filtering with social promoter score-based user-item interaction: a new perspective in recommendation. Appl Intell 51:1\u201326","journal-title":"Appl Intell"},{"key":"8958_CR80","first-page":"1","volume":"15","author":"W Jing","year":"2021","unstructured":"Jing W, Sangaiah AK, Wei L, Shaopeng L, Lei L, Ruishi L (2021) Multi-view fusion for recommendation with attentive deep neural network. Evolut Intell 15:1\u201311","journal-title":"Evolut Intell"},{"key":"8958_CR81","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00521-021-06065-9","volume":"33","author":"K Rama","year":"2021","unstructured":"Rama K, Kumar P, Bhasker B (2021) Deep autoencoders for feature learning with embeddings for recommendations: a novel recommender system solution. Neural Comput Appl 33:1\u201311","journal-title":"Neural Comput Appl"},{"issue":"2","key":"8958_CR82","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3432049","volume":"39","author":"P Liu","year":"2021","unstructured":"Liu P, Zhang L, Gulla JA (2021) Multilingual review-aware deep recommender system via aspect-based sentiment analysis. ACM Trans Inf Syst (TOIS) 39(2):1\u201333","journal-title":"ACM Trans Inf Syst (TOIS)"},{"key":"8958_CR83","doi-asserted-by":"crossref","first-page":"131144","DOI":"10.1109\/ACCESS.2022.3230323","volume":"10","author":"S Bourhim","year":"2022","unstructured":"Bourhim S, Benhiba L, Idrissi MJ (2022) A community-driven deep collaborative approach for recommender systems. IEEE Access 10:131144\u2013131152","journal-title":"IEEE Access"},{"key":"8958_CR84","doi-asserted-by":"crossref","first-page":"114540","DOI":"10.1109\/ACCESS.2022.3217911","volume":"10","author":"H Deng","year":"2022","unstructured":"Deng H, Zhai C, Zheng L (2022) Neural collaborative filtering for chinese movies based on aspect-aware implicit interactions. IEEE Access 10:114540\u2013114551","journal-title":"IEEE Access"},{"issue":"11","key":"8958_CR85","doi-asserted-by":"crossref","first-page":"6983","DOI":"10.1109\/TSMC.2021.3129261","volume":"52","author":"CD Wang","year":"2021","unstructured":"Wang CD, Chen YH, Xi WD, Huang L, Xie G (2021) Cross-domain explicit\u2013implicit-mixed collaborative filtering neural network. IEEE Trans Syst, Man, and Cybern: Syst 52(11):6983\u20136997","journal-title":"IEEE Trans Syst, Man, and Cybern: Syst"},{"issue":"10","key":"8958_CR86","doi-asserted-by":"crossref","first-page":"4650","DOI":"10.1109\/TKDE.2020.3048788","volume":"34","author":"R Yu","year":"2021","unstructured":"Yu R, Ye D, Wang Z, Zhang B, Oguti AM, Li J, Kurdahi F (2021) CFFNN: cross feature fusion neural network for collaborative filtering. IEEE Trans Knowl Data Eng 34(10):4650\u20134662","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"8958_CR87","doi-asserted-by":"crossref","first-page":"102051","DOI":"10.1016\/j.is.2022.102051","volume":"109","author":"X Xiong","year":"2022","unstructured":"Xiong X, Li X, Hu Y, Wu Y, Yin J (2022) Handling information loss of graph convolutional networks in collaborative filtering. Inf Syst 109:102051","journal-title":"Inf Syst"},{"issue":"9","key":"8958_CR88","doi-asserted-by":"crossref","first-page":"e17789","DOI":"10.1002\/aic.17789","volume":"68","author":"T Tan","year":"2022","unstructured":"Tan T, Cheng H, Chen G, Song Z, Qi Z (2022) Prediction of infinite-dilution activity coefficients with neural collaborative filtering. AIChE J 68(9):e17789","journal-title":"AIChE J"},{"issue":"5","key":"8958_CR89","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3447395","volume":"15","author":"W Cheng","year":"2021","unstructured":"Cheng W, Shen Y, Huang L, Zhu Y (2021) Dual-embedding based deep latent factor models for recommendation. ACM Trans Knowl Discov Data (TKDD) 15(5):1\u201324","journal-title":"ACM Trans Knowl Discov Data (TKDD)"},{"key":"8958_CR90","unstructured":"Billsus D, & Pazzani MJ (1998, July) Learning collaborative information filters. In:\u00a0Icml\u00a0(Vol 98, pp 46-54)"},{"issue":"8","key":"8958_CR91","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren Y, Bell R, Volinsky C (2009) Matrix factorization techniques for recommender systems. Computer 42(8):30\u201337","journal-title":"Computer"},{"key":"8958_CR92","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1016\/j.neucom.2019.01.028","volume":"334","author":"W Zhang","year":"2019","unstructured":"Zhang W, Zhang X, Wang H, Chen D (2019) A deep variational matrix factorization method for recommendation on large scale sparse dataset. Neurocomputing 334:206\u2013218","journal-title":"Neurocomputing"},{"key":"8958_CR93","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.neucom.2019.12.087","volume":"385","author":"H Liu","year":"2020","unstructured":"Liu H, Liu H, Ji Q, Zhao P, Wu X (2020) Collaborative deep recommendation with global and local item correlations. Neurocomputing 385:278\u2013291","journal-title":"Neurocomputing"},{"issue":"3","key":"8958_CR94","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1109\/JIOT.2019.2944889","volume":"7","author":"S Duan","year":"2019","unstructured":"Duan S, Zhang D, Wang Y, Li L, Zhang Y (2019) JointRec: a deep-learning-based joint cloud video recommendation framework for mobile IoT. IEEE Internet Things J 7(3):1655\u20131666","journal-title":"IEEE Internet Things J"},{"key":"8958_CR95","doi-asserted-by":"crossref","first-page":"119121","DOI":"10.1109\/ACCESS.2019.2937518","volume":"7","author":"BM Shoja","year":"2019","unstructured":"Shoja BM, Tabrizi N (2019) Customer reviews analysis with deep neural networks for e-commerce recommender systems. IEEE Access 7:119121\u2013119130","journal-title":"IEEE Access"},{"issue":"3","key":"8958_CR96","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1109\/TNNLS.2019.2909432","volume":"31","author":"J Han","year":"2019","unstructured":"Han J, Zheng L, Xu Y, Zhang B, Zhuang F, Philip SY, Zuo W (2019) Adaptive deep modeling of users and items using side information for recommendation. IEEE Trans Neural Netw Learn Syst 31(3):737\u2013748","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"47","key":"8958_CR97","doi-asserted-by":"crossref","first-page":"35927","DOI":"10.1007\/s11042-020-09199-5","volume":"79","author":"R Katarya","year":"2020","unstructured":"Katarya R, Arora Y (2020) Capsmf: a novel product recommender system using deep learning based text analysis model. Multimed Tools Appl 79(47):35927\u201335948","journal-title":"Multimed Tools Appl"},{"key":"8958_CR98","first-page":"1","volume":"25","author":"Y Yin","year":"2019","unstructured":"Yin Y, Chen L, Xu Y, Wan J, Zhang H, Mai Z (2019) QoS prediction for service recommendation with deep feature learning in edge computing environment. Mobile Netw Appl 25:1\u201311","journal-title":"Mobile Netw Appl"},{"issue":"4","key":"8958_CR99","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3343117","volume":"37","author":"W Chen","year":"2019","unstructured":"Chen W, Cai F, Chen H, Rijke MD (2019) Joint neural collaborative filtering for recommender systems. ACM Trans Inf Syst (TOIS) 37(4):1\u201330","journal-title":"ACM Trans Inf Syst (TOIS)"},{"key":"8958_CR100","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.ijcce.2020.11.002","volume":"1","author":"J Wang","year":"2020","unstructured":"Wang J, Liu L (2020) A multi-attention deep neural network model base on embedding and matrix factorization for recommendation. Int J Cognit Comput Eng 1:70\u201377","journal-title":"Int J Cognit Comput Eng"},{"key":"8958_CR101","doi-asserted-by":"crossref","first-page":"104066","DOI":"10.1016\/j.engappai.2020.104066","volume":"97","author":"ZY Khan","year":"2021","unstructured":"Khan ZY, Niu Z, Nyamawe AS, ul Haq I (2021) A deep hybrid model for Recommendation by jointly leveraging ratings, reviews and metadata information. Eng Appl Artif Intell 97:104066","journal-title":"Eng Appl Artif Intell"},{"issue":"4","key":"8958_CR102","doi-asserted-by":"crossref","first-page":"2776","DOI":"10.1109\/TII.2020.2986316","volume":"17","author":"Z Guo","year":"2020","unstructured":"Guo Z, Wang H (2020) A deep graph neural network-based mechanism for social recommendations. IEEE Trans Ind Inf 17(4):2776\u20132783","journal-title":"IEEE Trans Ind Inf"},{"key":"8958_CR103","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-019-0278-0","volume":"7","author":"N Nassar","year":"2020","unstructured":"Nassar N, Jafar A, Rahhal Y (2020) Multi-criteria collaborative filtering recommender by fusing deep neural network and matrix factorization. J Big Data 7:1\u201312","journal-title":"J Big Data"},{"issue":"29","key":"8958_CR104","doi-asserted-by":"crossref","first-page":"20845","DOI":"10.1007\/s11042-020-08932-4","volume":"79","author":"G Bathla","year":"2020","unstructured":"Bathla G, Aggarwal H, Rani R (2020) AutoTrustRec: recommender system with social trust and deep learning using autoEncoder. Multimed Tools Appl 79(29):20845\u201320860","journal-title":"Multimed Tools Appl"},{"issue":"4","key":"8958_CR105","doi-asserted-by":"crossref","first-page":"2259","DOI":"10.1007\/s11280-020-00793-z","volume":"23","author":"Y Pan","year":"2020","unstructured":"Pan Y, He F, Yu H (2020) Learning social representations with deep autoencoder for recommender system. World Wide Web 23(4):2259\u20132279","journal-title":"World Wide Web"},{"key":"8958_CR106","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/j.ins.2021.02.009","volume":"565","author":"H Liu","year":"2021","unstructured":"Liu H, Guo L, Li P, Zhao P, Wu X (2021) Collaborative filtering with a deep adversarial and attention network for cross-domain recommendation. Inf Sci 565:370\u2013389","journal-title":"Inf Sci"},{"key":"8958_CR107","doi-asserted-by":"crossref","first-page":"114757","DOI":"10.1016\/j.eswa.2021.114757","volume":"174","author":"A Ahmed","year":"2021","unstructured":"Ahmed A, Saleem K, Khalid O, Rashid U (2021) On deep neural network for trust aware cross domain recommendations in E-commerce. Expert Syst Appl 174:114757","journal-title":"Expert Syst Appl"},{"issue":"1","key":"8958_CR108","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1109\/TNSE.2020.3044035","volume":"8","author":"L Wan","year":"2020","unstructured":"Wan L, Xia F, Kong X, Hsu CH, Huang R, Ma J (2020) Deep matrix factorization for trust-aware recommendation in social networks. IEEE Trans Netw Sci Eng 8(1):511\u2013528","journal-title":"IEEE Trans Netw Sci Eng"},{"key":"8958_CR109","doi-asserted-by":"crossref","first-page":"732","DOI":"10.1108\/IJCST-11-2021-0172","volume":"34","author":"GH Lee","year":"2022","unstructured":"Lee GH, Kim S, Park CK (2022) Development of fashion recommendation system using collaborative deep learning. Int J Cloth Sci Technol 34:732\u2013744","journal-title":"Int J Cloth Sci Technol"},{"key":"8958_CR110","doi-asserted-by":"crossref","first-page":"37281","DOI":"10.1109\/ACCESS.2022.3165310","volume":"10","author":"QH Le","year":"2022","unstructured":"Le QH, Mau TN, Tansuchat R, Huynh VN (2022) A multi-criteria collaborative filtering approach using deep learning and Dempster\u2013Shafer theory for hotel recommendations. IEEE Access 10:37281\u201337293","journal-title":"IEEE Access"},{"issue":"22","key":"8958_CR111","doi-asserted-by":"crossref","first-page":"22123","DOI":"10.1109\/JIOT.2021.3086845","volume":"9","author":"W Liang","year":"2021","unstructured":"Liang W, Xie S, Cai J, Xu J, Hu Y, Xu Y, Qiu M (2021) Deep neural network security collaborative filtering scheme for service recommendation in intelligent cyber-physical systems. IEEE Internet Things J 9(22):22123\u201322132","journal-title":"IEEE Internet Things J"},{"issue":"2","key":"8958_CR112","doi-asserted-by":"crossref","first-page":"1257","DOI":"10.1109\/TCBB.2022.3191972","volume":"20","author":"J Ha","year":"2022","unstructured":"Ha J, Park S (2022) NCMD: Node2vec-based neural collaborative filtering for predicting miRNA-disease association. IEEE\/ACM Trans Comput Biol Bioinform 20(2):1257\u20131268","journal-title":"IEEE\/ACM Trans Comput Biol Bioinform"},{"key":"8958_CR113","doi-asserted-by":"crossref","first-page":"117933","DOI":"10.1016\/j.eswa.2022.117933","volume":"207","author":"MF Aljunid","year":"2022","unstructured":"Aljunid MF, Huchaiah MD (2022) IntegrateCF: integrating explicit and implicit feedback based on deep learning collaborative filtering algorithm. Expert Syst Appl 207:117933","journal-title":"Expert Syst Appl"},{"key":"8958_CR114","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1016\/j.ijar.2022.11.011","volume":"152","author":"X Ye","year":"2023","unstructured":"Ye X, Liu D, Li T (2023) Multi-granularity sequential three-way recommendation based on collaborative deep learning. Int J Approx Reason 152:434\u2013455","journal-title":"Int J Approx Reason"},{"key":"8958_CR115","doi-asserted-by":"crossref","first-page":"119441","DOI":"10.1016\/j.eswa.2022.119441","volume":"216","author":"B Swaminathan","year":"2023","unstructured":"Swaminathan B, Palani S, Vairavasundaram S (2023) Feature fusion based deep neural collaborative filtering model for fertilizer prediction. Expert Syst Appl 216:119441","journal-title":"Expert Syst Appl"},{"key":"8958_CR116","doi-asserted-by":"crossref","first-page":"108548","DOI":"10.1016\/j.asoc.2022.108548","volume":"119","author":"H Morise","year":"2022","unstructured":"Morise H, Atarashi K, Oyama S, Kurihara M (2022) Neural collaborative filtering with multicriteria evaluation data. Appl Soft Comput 119:108548","journal-title":"Appl Soft Comput"},{"key":"8958_CR117","first-page":"1","volume":"35","author":"J Bobadilla","year":"2022","unstructured":"Bobadilla J, Ortega F, Guti\u00e9rrez A, Gonz\u00e1lez-Prieto \u00c1 (2022) Deep variational models for collaborative filtering-based recommender systems. Neural Comput Appl 35:1\u201315","journal-title":"Neural Comput Appl"},{"issue":"5","key":"8958_CR118","doi-asserted-by":"crossref","first-page":"1971","DOI":"10.1007\/s10618-022-00859-8","volume":"36","author":"P Magron","year":"2022","unstructured":"Magron P, F\u00e9votte C (2022) Neural content-aware collaborative filtering for cold-start music recommendation. Data Min Knowl Disc 36(5):1971\u20132005","journal-title":"Data Min Knowl Disc"},{"issue":"9","key":"8958_CR119","doi-asserted-by":"crossref","first-page":"6991","DOI":"10.1007\/s00521-021-06831-9","volume":"34","author":"A Noulapeu Ngaffo","year":"2022","unstructured":"Noulapeu Ngaffo A, Choukair Z (2022) A deep neural network-based collaborative filtering using a matrix factorization with a twofold regularization. Neural Comput Appl 34(9):6991\u20137003","journal-title":"Neural Comput Appl"},{"issue":"3","key":"8958_CR120","first-page":"1489","volume":"15","author":"VR Yannam","year":"2023","unstructured":"Yannam VR, Kumar J, Babu KS, Sahoo B (2023) Improving group recommendation using deep collaborative filtering approach. Int J Inf Technol 15(3):1489\u20131497","journal-title":"Int J Inf Technol"},{"issue":"7","key":"8958_CR121","first-page":"3637","volume":"14","author":"G Behera","year":"2022","unstructured":"Behera G, Nain N (2022) DeepNNMF: deep nonlinear non-negative matrix factorization to address sparsity problem of collaborative recommender system. Int J Inf Technol 14(7):3637\u20133645","journal-title":"Int J Inf Technol"},{"key":"8958_CR122","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10844-020-00624-7","volume":"57","author":"L Sun","year":"2021","unstructured":"Sun L, Liu X, Liu Y, Wang T, Guo L, Zheng X, Luo Y (2021) A novel deep recommend model based on rating matrix and item attributes. J Intell Inf Syst 57:1\u201325","journal-title":"J Intell Inf Syst"},{"key":"8958_CR123","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1016\/j.ins.2020.07.038","volume":"542","author":"J Ni","year":"2021","unstructured":"Ni J, Huang Z, Cheng J, Gao S (2021) An effective recommendation model based on deep representation learning. Inf Sci 542:324\u2013342","journal-title":"Inf Sci"},{"issue":"2","key":"8958_CR124","doi-asserted-by":"crossref","first-page":"1239","DOI":"10.1007\/s13369-021-05910-2","volume":"47","author":"W Zhou","year":"2022","unstructured":"Zhou W, Du Y, Duan M, Ul Haq A, Shah F (2022) NtCF: neural trust-aware collaborative filtering toward hierarchical recommendation services. Arab J Sci Eng 47(2):1239\u20131252","journal-title":"Arab J Sci Eng"},{"issue":"5","key":"8958_CR125","first-page":"1906","volume":"33","author":"X Shen","year":"2019","unstructured":"Shen X, Yi B, Liu H, Zhang W, Zhang Z, Liu S, Xiong N (2019) Deep variational matrix factorization with knowledge embedding for recommendation system. IEEE Trans Know Data Eng. 33(5):1906\u20131918","journal-title":"IEEE Trans Know Data Eng."}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-08958-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-023-08958-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-08958-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,16]],"date-time":"2023-11-16T12:08:23Z","timestamp":1700136503000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-023-08958-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,5]]},"references-count":125,"journal-issue":{"issue":"35","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["8958"],"URL":"https:\/\/doi.org\/10.1007\/s00521-023-08958-3","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,5]]},"assertion":[{"value":"30 December 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 August 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 October 2023","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 there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}