{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T07:15:00Z","timestamp":1765178100179,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030962951"},{"type":"electronic","value":"9783030962968"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-030-96296-8_12","type":"book-chapter","created":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T07:05:46Z","timestamp":1649401546000},"page":"123-132","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Customer Journey: Applications of AI and Machine Learning in E-Commerce"],"prefix":"10.1007","author":[{"given":"Alexandros I.","family":"Metsai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Irene-Maria","family":"Tabakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konstantinos","family":"Karamitsios","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konstantinos","family":"Kotrotsios","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Periklis","family":"Chatzimisios","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"George","family":"Stalidis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kostas","family":"Goulianas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,4,9]]},"reference":[{"issue":"2","key":"12_CR1","first-page":"116","volume":"85","author":"C Meyer","year":"2007","unstructured":"Meyer, C., Schwager, A.: Understanding customer experience. Harvard Bus. Rev. 85(2), 116 (2007)","journal-title":"Harvard Bus. Rev."},{"issue":"6","key":"12_CR2","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1509\/jm.15.0420","volume":"80","author":"KN Lemon","year":"2016","unstructured":"Lemon, K.N., Verhoef, P.C.: Understanding customer experience throughout the customer journey. J. Mark. 80(6), 69\u201396 (2016)","journal-title":"J. Mark."},{"issue":"3","key":"12_CR3","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/s11747-015-0460-7","volume":"45","author":"C Homburg","year":"2015","unstructured":"Homburg, C., Jozi\u0107, D., Kuehnl, C.: Customer experience management: toward implementing an evolving marketing concept. J. Acad. Mark. Sci. 45(3), 377\u2013401 (2015). https:\/\/doi.org\/10.1007\/s11747-015-0460-7","journal-title":"J. Acad. Mark. Sci."},{"key":"12_CR4","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1108\/JSTP-11-2014-0261","volume":"28","author":"A F\u00f8lstad","year":"2018","unstructured":"F\u00f8lstad, A., Kvale, K.: Customer journeys: a systematic literature review. J. Serv. Theory Pract. 28, 196\u2013227 (2018)","journal-title":"J. Serv. Theory Pract."},{"key":"12_CR5","doi-asserted-by":"publisher","unstructured":"Wu, Q., et al.: Speaking with actions - learning customer journey behavior. In: 2019 IEEE 13th International Conference on Semantic Computing (ICSC), pp. 279\u2013286 (2019). https:\/\/doi.org\/10.1109\/ICOSC.2019.8665577","DOI":"10.1109\/ICOSC.2019.8665577"},{"key":"12_CR6","unstructured":"What is Nike Fit? Nike News 09 May 2019. https:\/\/news.nike.com\/news\/nike-fit-digital-foot-measurement-tool. Accessed 10 June 2021"},{"key":"12_CR7","unstructured":"IKEA Place app. IKEA mobile apps. https:\/\/www.ikea.com\/gb\/en\/customer-service\/mobile-apps\/. Accessed 10 June 2021"},{"key":"12_CR8","doi-asserted-by":"publisher","unstructured":"Karessli, N., Guigoures, R., Shirvany, R.: SizeNet: weakly supervised learning of visual size and fit in fashion images. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 335\u2013343 (2019). https:\/\/doi.org\/10.1109\/CVPRW.2019.00046","DOI":"10.1109\/CVPRW.2019.00046"},{"key":"12_CR9","doi-asserted-by":"publisher","unstructured":"Goossens, J., Demewez, T., Hassani, M.: Effective steering of customer journey via order-aware recommendation. In: IEEE International Conference on Data Mining Workshops (ICDMW), pp. 828\u2013837 (2018). https:\/\/doi.org\/10.1109\/ICDMW.2018.00123","DOI":"10.1109\/ICDMW.2018.00123"},{"issue":"3","key":"12_CR10","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1016\/j.ijresmar.2020.04.004","volume":"37","author":"M Wedel","year":"2020","unstructured":"Wedel, M., Bign\u00e9, E., Zhang, J.: Virtual and augmented reality: advancing research in consumer marketing. Int. J. Res. Mark. 37(3), 443\u2013465 (2020). https:\/\/doi.org\/10.1016\/j.ijresmar.2020.04.004","journal-title":"Int. J. Res. Mark."},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Damian, A., Piciu, L., Turlea, S., Tapus, N.: Advanced customer activity prediction based on deep hierarchic encoder-decoders. In: 22nd International Conference on Control Systems and Computer Science(CSCS), pp. 403\u2013409 (2019)","DOI":"10.1109\/CSCS.2019.00074"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Hoyer, W. D., Kroschke, M., Schmitt, B., Kraume, K., Shankar, V.: Transforming the customer experience through new technologies. J. Inter. Mark. 51, 57\u201371 (2020)","DOI":"10.1016\/j.intmar.2020.04.001"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Torres-D\u00e1vila, D., Porles-Ar\u00e9valo, J., Mauricio, D.: The customer experience maturity model in the e-commerce processes. In: 2019 IEEE XXVI International Conference on Electronics, Electrical Engineering and Computing (INTERCON), pp. 1\u20134. IEEE (2019)","DOI":"10.1109\/INTERCON.2019.8853590"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Terragni, A., Hassani, M.: Analyzing customer journey with process mining: from discovery to recommendations. In: 2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud), pp. 224\u2013229. IEEE (2018)","DOI":"10.1109\/FiCloud.2018.00040"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Argal, A., Gupta, S., Modi, A., Pandey, P., Shim, S., Choo, C.: Intelligent travel chatbot for predictive recommendation in echo platform. In: IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), pp. 176\u2013183 (2018)","DOI":"10.1109\/CCWC.2018.8301732"},{"key":"12_CR16","doi-asserted-by":"publisher","unstructured":"Gandhi, S., et al.: Scalable detection of offensive and non-compliant content\/logo in product images. In: IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 2236\u20132245. IEEE (2020). https:\/\/doi.org\/10.1109\/WACV45572.2020.9093454","DOI":"10.1109\/WACV45572.2020.9093454"},{"key":"12_CR17","doi-asserted-by":"publisher","unstructured":"Chan, C.O., Lau, H.C.W., Fan, Y.: IoT data acquisition in fashion retail application: fuzzy logic approach. In: International Conference on Artificial Intelligence and Big Data (ICAIBD), pp. 52\u201356 (2018). https:\/\/doi.org\/10.1109\/ICAIBD.2018.8396166","DOI":"10.1109\/ICAIBD.2018.8396166"},{"key":"12_CR18","doi-asserted-by":"publisher","unstructured":"Jabbar, J., Urooj, I., JunSheng, W., Azeem N.: Real-time sentiment analysis on e-commerce application. In: IEEE 16th International Conference on Networking, Sensing and Control (ICNSC), pp. 391\u2013396 (2019). https:\/\/doi.org\/10.1109\/ICNSC.2019.8743331","DOI":"10.1109\/ICNSC.2019.8743331"},{"key":"12_CR19","doi-asserted-by":"publisher","unstructured":"Yiran Y. and Srivastava S.: Aspect-based sentiment analysis on mobile phone reviews with LDA. In: 4th International Conference on Machine Learning Technologies (ICMLT), pp. 101\u2013105. Association for Computing Machinery, New York, NY, USA (2019). https:\/\/doi.org\/10.1145\/3340997.3341012","DOI":"10.1145\/3340997.3341012"},{"key":"12_CR20","unstructured":"The Amazon Recommendations Secret to Selling More Online. Rejoiner. https:\/\/rejoiner.com\/resources\/amazon-recommendations-secret-selling-online\/. Accessed 2 June 2021"},{"key":"12_CR21","unstructured":"Netflix: Recommendations Worth a Million. KismetK. https:\/\/rpubs.com\/kismetk\/Netflix-recommendation. Accessed 2 June 2021"},{"key":"12_CR22","doi-asserted-by":"publisher","unstructured":"Ricci, F., Rokach, L., Shapira, B.: Introduction to recommender systems handbook. In: Recommender Systems Handbook, Boston, MA: Springer, US (2011). https:\/\/doi.org\/10.1007\/978-0-387-85820-3_1","DOI":"10.1007\/978-0-387-85820-3_1"},{"key":"12_CR23","doi-asserted-by":"publisher","unstructured":"Akour, I., Alshurideh, M., Barween, A.K., Amel, A. A., Salloum, S.: Using machine learning algorithms to predict people\u2019s intention to use mobile learning platforms during the COVID-19 pandemic: machine learning approach. JMIR Med. Educ. 7(1), e24032 (2021). https:\/\/doi.org\/10.2196\/24032","DOI":"10.2196\/24032"}],"container-title":["Lecture Notes in Networks and Systems","New Realities, Mobile Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-96296-8_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T07:10:37Z","timestamp":1649401837000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-96296-8_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030962951","9783030962968"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-96296-8_12","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"9 April 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IMCL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Interactive Mobile Communication, Technologies and Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thessaloniki","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","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":"4 November 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 November 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"imcl2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/imcl-conference.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}