{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T03:44:49Z","timestamp":1767066289474,"version":"3.37.3"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2018,9,3]],"date-time":"2018-09-03T00:00:00Z","timestamp":1535932800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61672318"],"award-info":[{"award-number":["61672318"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61631013"],"award-info":[{"award-number":["61631013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the National Key Research and Development Program","award":["2016YFB1000102"],"award-info":[{"award-number":["2016YFB1000102"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Peer-to-Peer Netw. Appl."],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1007\/s12083-018-0673-x","type":"journal-article","created":{"date-parts":[[2018,9,3]],"date-time":"2018-09-03T01:01:45Z","timestamp":1535936505000},"page":"1445-1453","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A data-driven and the deep learning based CDN recommendation framework for ICPs"],"prefix":"10.1007","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0933-2178","authenticated-orcid":false,"given":"Bo","family":"Qiao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,3]]},"reference":[{"issue":"13","key":"673_CR1","doi-asserted-by":"publisher","first-page":"3523","DOI":"10.1002\/cpe.3464","volume":"27","author":"H Yin","year":"2015","unstructured":"Yin H, Qiao B, Luo Y, Tian C, Yang YR (2015) Demystifying commercial content delivery networks in China. Concurrency and Computation Practice and Experience 27(13):3523\u20133538","journal-title":"Concurrency and Computation Practice and Experience"},{"key":"673_CR2","doi-asserted-by":"crossref","unstructured":"Adhikari V, Guo Y, Hao F, Varvello M, Hilt V, Steiner M, Zhang ZL (2012) Unreeling netflix: Understanding and improving multi-cdn movie delivery. In: 2012 Proceedings IEEE INFOCOM, pp1620\u20131628","DOI":"10.1109\/INFCOM.2012.6195531"},{"key":"673_CR3","doi-asserted-by":"crossref","unstructured":"Adhikari V, Guo Y, Hao F, Varvello M, Hilt V, Steiner M, Zhang ZL (2012) A tale of three cdns: An active measurement study of hulu and its cdns. In: IEEE conference on computer communications workshops (INFOCOM WKSHPS), pp 7\u201312","DOI":"10.1109\/INFCOMW.2012.6193524"},{"key":"673_CR4","doi-asserted-by":"crossref","unstructured":"Liu H H, Wang Y, Yang Y R, Wang H, Tian C (2012) Optimizing cost and performance for content multihoming. In: Proceedings of the ACM SIGCOMM 2012 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, ser. SIGCOMM \u201912. ACM, New York, pp 371\u2013382","DOI":"10.1145\/2342356.2342432"},{"issue":"6","key":"673_CR5","doi-asserted-by":"publisher","first-page":"1752","DOI":"10.1109\/TNET.2009.2022157","volume":"17","author":"AJ Su","year":"2009","unstructured":"Su A J, Choffnes D R, Kuzmanovic A, Bustamante F E (2009) Drafting behind akamai: inferring network conditions based on cdn redirections. IEEE\/ACM Trans. Netw. 17(6):1752\u20131765","journal-title":"IEEE\/ACM Trans. Netw."},{"key":"673_CR6","unstructured":"CDN expert. http:\/\/cdnexpertonline.com\/node\/45"},{"key":"673_CR7","doi-asserted-by":"crossref","unstructured":"Krishnamurthy B, Wills C, Zhang Y, Stoica I, Zhang H (2001) On the use and performance of content distribution networks. Proceedings of the ACM SIGCOMM internet measurement workshop 2001","DOI":"10.1145\/505202.505224"},{"key":"673_CR8","unstructured":"DeepField, First data on changing netflix and CDN market share. 2012. http:\/\/www.deepfield.net\/2012\/06\/first-data-on-changing-netflix-and-cdn-market-share\/"},{"key":"673_CR9","doi-asserted-by":"crossref","unstructured":"Yu T, Tian C, Jiang H, Liu W Measurements and analysis of an unconstrained user generated content system. In: 2011 IEEE International Conference on Communications (ICC), pp 1\u20135","DOI":"10.1109\/icc.2011.5962732"},{"issue":"2","key":"673_CR10","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/S0140-3664(00)00315-7","volume":"24","author":"KL Johnson","year":"2001","unstructured":"Johnson KL, Carr JF, Day MS, Kaashoek MF (2001) The measured performance of content distribution networks. Comput Commun 24(2):202\u2013206","journal-title":"Comput Commun"},{"key":"673_CR11","unstructured":"Huang C, Wang A, Li J, Ross KW (2008) Measuring and evaluating large-scale CDNs. In: Proceedings of the 2008 ACM SIGCOMM conference on internet measurement conference"},{"key":"673_CR12","doi-asserted-by":"crossref","unstructured":"Triukose S, Wen Z, Rabinovich M (2011) Measuring a commercial content delivery network. In: Proceedings of WWW 2011","DOI":"10.1145\/1963405.1963472"},{"key":"673_CR13","doi-asserted-by":"crossref","unstructured":"Wang YA, Huang C, Li J, Ross KW (2011) Estimating the performance of hypothetical cloud service deployments: a measurement-based approach","DOI":"10.1109\/INFCOM.2011.5935057"},{"key":"673_CR14","doi-asserted-by":"crossref","unstructured":"Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE transactions on knowledge and data engineering 17(6), pp 734\u2013749","DOI":"10.1109\/TKDE.2005.99"},{"issue":"1","key":"673_CR15","first-page":"35","volume":"1","author":"S Zhang","year":"2017","unstructured":"Zhang S, Yao L, Sun A (2017) Deep learning based recommender system: A survey and new perspectives. ACM J Comput Cult 1(1):35","journal-title":"ACM J Comput Cult"},{"issue":"4","key":"673_CR16","first-page":"13","volume":"6","author":"CA Gomez-Uribe","year":"2016","unstructured":"Gomez-Uribe CA, Hunt N (2016) The netflix recommender system: Algorithms, business value, and innovation. ACM Trans Manag Inf Syst (TMIS) 6(4):13","journal-title":"ACM Trans Manag Inf Syst (TMIS)"},{"key":"673_CR17","doi-asserted-by":"crossref","unstructured":"Davidson J, Liebald B, Liu J, Nandy P, Vleet TV, Gargi U, Gupta S, He Y, Lambert M, Livingston B, Sampath D (2010) The YouTube video recommendation system. In: Proceedings of the 4th ACM conference on recommender systems (RecSys 10). ACM, New York, pp 293\u2013296","DOI":"10.1145\/1864708.1864770"},{"issue":"4","key":"673_CR18","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1023\/A:1021240730564","volume":"12","author":"R Burke","year":"2002","unstructured":"Burke R (2002) Hybrid recommender systems: Survey and experiments. User Model User-Adap Inter 12 (4):331\u2013370","journal-title":"User Model User-Adap Inter"},{"key":"673_CR19","doi-asserted-by":"crossref","unstructured":"McNee SM, Riedl J, Konstan JA (2006) Being accurate is not enough: How accuracy metrics have hurt recommender systems. In: CHI\u201906 extended abstracts on human factors in computing systems (CHI EA\u201906). ACM, New York, pp 1097\u20131101","DOI":"10.1145\/1125451.1125659"},{"key":"673_CR20","doi-asserted-by":"crossref","unstructured":"Vargas S, Castells P (2011) Rank and relevance in novelty and diversity metrics for recommender systems. In: Proceedings of the 5th ACM conference on Recommender systems. ACM, pp 109\u2013116","DOI":"10.1145\/2043932.2043955"},{"key":"673_CR21","unstructured":"Cheng H-T, Koc L, Harmsen J, Shaked T, Chandra T, Aradhye H, Anderson G, Corrado G, Chai W, Ispir M et al (2016) Wide and deep learning for recommender systems. In: Proceedings of the 1st workshop on deep learning for recommender systems. ACM, pp 7\u201310"},{"key":"673_CR22","doi-asserted-by":"crossref","unstructured":"Covington P, Adams J, Sargin E (2016) Deep neural networks for youtube recommendations. In: Proceedings of the 10th ACM conference on recommender systems. ACM, pp 191\u2013198","DOI":"10.1145\/2959100.2959190"},{"key":"673_CR23","doi-asserted-by":"crossref","unstructured":"Okura S, Tagami Y, Ono S, Tajima A (2017) Embedding-based news recommendation for millions of users. In: Proceedings of the 23th ACM SIGKDD international conference on knowledge discovery and data mining. ACM","DOI":"10.1145\/3097983.3098108"},{"key":"673_CR24","doi-asserted-by":"crossref","unstructured":"He X, Liao L, Zhang H, Nie L, Hu X, Chua T-S (2017) Neural collaborative filtering. In: Proceedings of the 26th international conference on World Wide Web. International World Wide Web conferences steering committee, pp 173\u2013182","DOI":"10.1145\/3038912.3052569"},{"key":"673_CR25","doi-asserted-by":"crossref","unstructured":"Wang X, He X, Nie L, Chua T-S (2017) Item silk road: Recommending items from information domains to social users. In: Proceedings of the 40th international ACM SIGIR conference on research and development in information retrieval","DOI":"10.1145\/3077136.3080771"},{"key":"673_CR26","doi-asserted-by":"crossref","unstructured":"Lian J, Zhang F, Xie X, Sun G (2017) CCCFNet: A content-boosted collaborative filtering neural network for cross domain recommender systems. In: Proceedings of the 26th international conference on World Wide Web companion. International World Wide Web conferences steering committee, pp 817\u2013818","DOI":"10.1145\/3041021.3054207"},{"key":"673_CR27","doi-asserted-by":"crossref","unstructured":"Alashkar T, Jiang S, Wang S, Fu Y (2017) Examples-rules guided deep neural network for makeup recommendation. In AAAI, pp 941\u2013947","DOI":"10.1609\/aaai.v31i1.10626"},{"key":"673_CR28","volume-title":"Deep learning","author":"I Goodfellow","year":"2016","unstructured":"Goodfellow I, Bengio Y, Courville A (2016) Deep learning. MIT Press, Cambridge"},{"key":"673_CR29","unstructured":"Kingma DP, Ba J (2014) Adam: A Method for Stochastic Optimization. Computer Science"},{"key":"673_CR30","unstructured":"Alexa (2017) Alexa\u2019s top 100 site ranking for China. http:\/\/www.alexa.cn\/"},{"key":"673_CR31","unstructured":"Chen M, Xu Z, Weinberger K, Sha F (2012) Marginalized denoising autoencoders for domain adaptation. arXiv: 1206.4683"},{"key":"673_CR32","doi-asserted-by":"crossref","unstructured":"Zhang H, Shen F, Liu W, He X, Luan H, Chua T. -S. (2016) Discrete collaborative filtering. In: SIGIR pp.325-334","DOI":"10.1145\/2911451.2911502"},{"key":"673_CR33","unstructured":"Aditya P H, Budi I, Munajat Q (2017) A comparative analysis of memory-based and model-based collaborative filtering on the implementation of recommender system for E-commerce in Indonesia: A case study PT X. International Conference on Advanced Computer Science and Information Systems (ICACSIS), pp 303\u2013308"},{"key":"673_CR34","unstructured":"Lousame F P, Sanchez E (2009) A taxonomy of collaborative-based recommender systems. Web Person. in Intel. Environ., SCI 229, pp 81\u2013117"},{"issue":"4","key":"673_CR35","first-page":"232","volume":"3","author":"C Liu","year":"2013","unstructured":"Liu C, Wu F (2013) The sutdy and implementation of web user mining system based on the similarity of words. Comput Sci Appl 3(4):232\u2013238","journal-title":"Comput Sci Appl"},{"key":"673_CR36","unstructured":"Su Z, Xu H, Zhang D, Xu Y (2014) TChinese sentiment classification using a neural network tool- Word2vec. In: International conference on multisensor fusion & information integration for intelligent systems pp 1\u20136"}],"container-title":["Peer-to-Peer Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12083-018-0673-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12083-018-0673-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12083-018-0673-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,31]],"date-time":"2022-08-31T05:00:13Z","timestamp":1661922013000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12083-018-0673-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,3]]},"references-count":36,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2019,9]]}},"alternative-id":["673"],"URL":"https:\/\/doi.org\/10.1007\/s12083-018-0673-x","relation":{},"ISSN":["1936-6442","1936-6450"],"issn-type":[{"type":"print","value":"1936-6442"},{"type":"electronic","value":"1936-6450"}],"subject":[],"published":{"date-parts":[[2018,9,3]]},"assertion":[{"value":"2 January 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 July 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}