{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T01:54:07Z","timestamp":1781574847698,"version":"3.54.5"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031063909","type":"print"},{"value":"9783031063916","type":"electronic"}],"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.springernature.com\/gp\/researchers\/text-and-data-mining"},{"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.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-06391-6_62","type":"book-chapter","created":{"date-parts":[[2022,6,15]],"date-time":"2022-06-15T19:05:23Z","timestamp":1655319923000},"page":"504-510","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Cosmetic Products Recommendation Methods for\u00a0Different Occasions Using Consumer Reviews and\u00a0Geotagged Tweets"],"prefix":"10.1007","author":[{"given":"Da","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Riko","family":"Yasuda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tadahiko","family":"Kumamoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yukiko","family":"Kawai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,6,16]]},"reference":[{"key":"62_CR1","doi-asserted-by":"crossref","unstructured":"Hori, K., Okada, S., Nitta, K.: Fashion image classification on mobile phones using layered deep convolutional neural networks. In: Proceedings of the 15th International Conference on Mobile and Ubiquitous Multimedia, pp. 359\u2013361 (2016)","DOI":"10.1145\/3012709.3016075"},{"issue":"6","key":"62_CR2","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1177\/1470785319844146","volume":"62","author":"Y Huang","year":"2020","unstructured":"Huang, Y., Liu, H., Li, W., Wang, Z., Hu, X., Wang, W.: Lifestyles in amazon: evidence from online reviews enhanced recommender system. Int. J. Mark. Res. 62(6), 689\u2013706 (2020)","journal-title":"Int. J. Mark. Res."},{"issue":"4","key":"62_CR3","doi-asserted-by":"publisher","first-page":"510","DOI":"10.1080\/10864415.2018.1485084","volume":"22","author":"S Kagan","year":"2018","unstructured":"Kagan, S., Bekkerman, R.: Predicting purchase behavior of website audiences. Int. J. Electron. Commer. 22(4), 510\u2013539 (2018)","journal-title":"Int. J. Electron. Commer."},{"issue":"1","key":"62_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11628-019-00408-2","volume":"14","author":"SM Lee","year":"2020","unstructured":"Lee, S.M., Lee, D.: \u201cuntact\u2019\u2019: a new customer service strategy in the digital age. Serv. Bus. 14(1), 1\u201322 (2020)","journal-title":"Serv. Bus."},{"key":"62_CR5","doi-asserted-by":"crossref","unstructured":"Li, M., Mao, H., Hu, J., Li, B.: Prediction and analysis of amazon user behavior based on long short-term memory and manual feature. In: 2021 International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA), pp. 243\u2013247. IEEE (2021)","DOI":"10.1109\/CAIBDA53561.2021.00058"},{"key":"62_CR6","doi-asserted-by":"crossref","unstructured":"Liu, C., Hong, J.: Strategies and service innovations of Haitao business in the Chinese market: a comparative case study of amazon. CN vs gmarket. co. kr. Asia Pacific J. Innov. Entrepr. (2016)","DOI":"10.1108\/APJIE-12-2016-012"},{"key":"62_CR7","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781 (2013)"},{"key":"62_CR8","unstructured":"Takaki, T., Murakami, T., Kurosawa, Y., Mera, K., Takezawa, T.: A searching support system for fashion items focusing on silhouettes (in Japanese). In: The 29th Annual Conference of the Japanese Society for Artificial Intelligence, pp. 1\u20134 (2015)"},{"key":"62_CR9","doi-asserted-by":"crossref","unstructured":"Ueda, M., Taniguchi, Y., Li, D., Siriaraya, P., Nakajima, S.: A research on constructing evaluative expression dictionaries for cosmetics based on word2vec. In: The 23rd International Conference on Information Integration and Web-based Applications & Services (iiWAS 2021), pp. 84\u201390. ACM (2021)","DOI":"10.1145\/3487664.3487676"},{"key":"62_CR10","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1007\/978-3-319-23012-2_11","volume-title":"Multinational Management","author":"TS Willenborg","year":"2016","unstructured":"Willenborg, T.S.: Rakuten: a case study on entering new markets through an innovative business-to-business-to-consumer strategy. In: Segers, R.T. (ed.) Multinational Management, pp. 203\u2013220. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-23012-2_11"}],"container-title":["Communications in Computer and Information Science","HCI International 2022 Posters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-06391-6_62","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T01:32:38Z","timestamp":1781573558000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-06391-6_62"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031063909","9783031063916"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-06391-6_62","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"16 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2022.hci.international\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}