{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:54:00Z","timestamp":1743008040861,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030198220"},{"type":"electronic","value":"9783030198237"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-19823-7_53","type":"book-chapter","created":{"date-parts":[[2019,5,15]],"date-time":"2019-05-15T00:24:22Z","timestamp":1557879862000},"page":"635-646","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Banner Personalization for e-Commerce"],"prefix":"10.1007","author":[{"given":"Ioannis","family":"Maniadis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konstantinos N.","family":"Vavliakis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas L.","family":"Symeonidis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,5,12]]},"reference":[{"key":"53_CR1","unstructured":"Trends in personalization. Technical report, MSU-CSE-06-2, Researchscape International (2018). https:\/\/www.evergage.com\/wp-content\/uploads\/2018\/04\/Evergage-2018-Trends-in-Personalization-Survey.pdf"},{"issue":"1","key":"53_CR2","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1007\/s00146-003-0259-9","volume":"18","author":"R Adams","year":"2004","unstructured":"Adams, R.: Intelligent advertising. AI Soc. 18(1), 68\u201381 (2004)","journal-title":"AI Soc."},{"key":"53_CR3","doi-asserted-by":"crossref","unstructured":"Anastasakos, T., Hillard, D., Kshetramade, S., Raghavan, H.: A collaborative filtering approach to ad recommendation using the query-ad click graph. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, CIKM 2009, pp. 1927\u20131930. ACM, New York (2009)","DOI":"10.1145\/1645953.1646267"},{"key":"53_CR4","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993\u20131022 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"53_CR5","doi-asserted-by":"publisher","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.: Recommender systems survey. Knowl. Based Syst. 46, 109\u2013132 (2013)","journal-title":"Knowl. Based Syst."},{"issue":"3","key":"53_CR6","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1080\/00031305.1992.10475878","volume":"46","author":"G Casella","year":"1992","unstructured":"Casella, G., George, E.I.: Explaining the Gibbs sampler. Am. Stat. 46(3), 167\u2013174 (1992)","journal-title":"Am. Stat."},{"issue":"9","key":"53_CR7","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/S1361-3723(18)30088-5","volume":"2018","author":"A Datoo","year":"2018","unstructured":"Datoo, A.: Data in the post-GDPR world. Comput. Fraud Secur. 2018(9), 17\u201318 (2018)","journal-title":"Comput. Fraud Secur."},{"issue":"4","key":"53_CR8","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1109\/TSMC.1976.5408784","volume":"6","author":"SA Dudani","year":"1976","unstructured":"Dudani, S.A.: The distance-weighted k-nearest-neighbor rule. IEEE Trans. Syst. Man Cybern. SMC 6(4), 325\u2013327 (1976)","journal-title":"IEEE Trans. Syst. Man Cybern. SMC"},{"key":"53_CR9","unstructured":"Glorot, X., Bengio, Y.: Understanding the difficulty of training deep feedforward neural networks. In: Teh, Y.W., Titterington, M. (eds.) Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, Proceedings of Machine Learning Research, PMLR, vol. 9, Chia Laguna Resort, Sardinia, Italy, pp. 249\u2013256, 13\u201315 May 2010"},{"key":"53_CR10","doi-asserted-by":"crossref","unstructured":"Hidasi, B., Karatzoglou, A.: Recurrent neural networks with top-k gains for session-based recommendations. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, pp. 843\u2013852. ACM, New York (2018)","DOI":"10.1145\/3269206.3271761"},{"key":"53_CR11","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.eswa.2018.02.012","volume":"111","author":"J Hu","year":"2018","unstructured":"Hu, J., Liang, J., Kuang, Y., Honavar, V.: A user similarity-based Top-N recommendation approach for mobile in-application advertising. Expert Syst. Appl. 111, 51\u201360 (2018)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"53_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/360402.360406","volume":"2","author":"R Kosala","year":"2000","unstructured":"Kosala, R., Blockeel, H.: Web mining research: a survey. SIGKDD Explor. Newsl. 2(1), 1\u201315 (2000)","journal-title":"SIGKDD Explor. Newsl."},{"key":"53_CR13","unstructured":"Lin, K.L., Hsu, J.Y., Huang, H.S., Hsu, C.N.: A recommender for targeted advertisement of unsought products in e-commerce. In: Seventh IEEE International Conference on E-Commerce Technology (CEC 2005), pp. 101\u2013108, July 2005"},{"key":"53_CR14","unstructured":"Lin, K.L., Hsu, J.Y.J., Huang, H.S., Hsu, C.N.: A recommender for targeted advertisement of unsought products in e-commerce. In: Proceedings of the Seventh IEEE International Conference on E-Commerce Technology, CEC 2005, pp. 101\u2013108. IEEE Computer Society, Washington, DC (2005)"},{"key":"53_CR15","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1016\/j.eswa.2018.07.077","volume":"115","author":"T Osadchiy","year":"2019","unstructured":"Osadchiy, T., Poliakov, I., Olivier, P., Rowland, M., Foster, E.: Recommender system based on pairwise association rules. Expert Syst. Appl. 115, 535\u2013542 (2019)","journal-title":"Expert Syst. Appl."},{"key":"53_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1007\/978-3-642-00958-7_21","volume-title":"Advances in Information Retrieval","author":"S Papadopoulos","year":"2009","unstructured":"Papadopoulos, S., Menemenis, F., Kompatsiaris, Y., Bratu, B.: Lexical graphs for improved contextual Ad recommendation. In: Boughanem, M., Berrut, C., Mothe, J., Soule-Dupuy, C. (eds.) ECIR 2009. LNCS, vol. 5478, pp. 216\u2013227. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-00958-7_21"},{"issue":"4","key":"53_CR17","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1023\/A:1026238916441","volume":"13","author":"D Pierrakos","year":"2003","unstructured":"Pierrakos, D., Paliouras, G., Papatheodorou, C., Spyropoulos, C.D.: Web usage mining as a tool for personalization: a survey. User Model. User Adap. Inter. 13(4), 311\u2013372 (2003)","journal-title":"User Model. User Adap. Inter."},{"key":"53_CR18","unstructured":"Qudah, D.A.A., Cristea, A.I., Bazdarevic, S.H., Al-Saqqa, S., Rodan, A., Yang, W.: Personalized e-advertisement and experience: recommending user targeted ads. In: 2015 IEEE 12th International Conference on e-Business Engineering (ICEBE), vol. 00, pp. 56\u201361, October 2015"},{"issue":"4","key":"53_CR19","doi-asserted-by":"publisher","first-page":"1088","DOI":"10.1016\/j.tele.2016.03.004","volume":"33","author":"V Salonen","year":"2016","unstructured":"Salonen, V., Karjaluoto, H.: Web personalization: the state of the art and future avenues for research and practice. Telematics Inf. 33(4), 1088\u20131104 (2016)","journal-title":"Telematics Inf."},{"issue":"2","key":"53_CR20","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.jretai.2004.04.001","volume":"80","author":"S Senecal","year":"2004","unstructured":"Senecal, S., Nantel, J.: The influence of online product recommendations on consumers\u2019 online choices. J. Retail. 80(2), 159\u2013169 (2004)","journal-title":"J. Retail."},{"key":"53_CR21","doi-asserted-by":"crossref","unstructured":"Sirur, S., Nurse, J.R.C., Webb, H.: Are we there yet? Understanding the challenges faced in complying with the general data protection regulation (GDPR). CoRR abs\/1808.07338 (2018)","DOI":"10.1145\/3267357.3267368"},{"key":"53_CR22","first-page":"1","volume":"2007","author":"G Tsoumakas","year":"2007","unstructured":"Tsoumakas, G., Katakis, I.: Multi-label classification: an overview. Int. J. Data Warehouse. Min. 2007, 1\u201313 (2007)","journal-title":"Int. J. Data Warehouse. Min."},{"issue":"2","key":"53_CR23","doi-asserted-by":"publisher","first-page":"799","DOI":"10.1007\/s11042-011-0866-2","volume":"70","author":"J Wang","year":"2014","unstructured":"Wang, J., Wang, B., Duan, L.Y., Tian, Q., Lu, H.: Interactive ads recommendation with contextual search on product topic space. Multimedia Tools Appl. 70(2), 799\u2013820 (2014)","journal-title":"Multimedia Tools Appl."},{"issue":"1","key":"53_CR24","first-page":"62","volume":"6","author":"T Wang","year":"2009","unstructured":"Wang, T., Ren, Y.: Research on personalized recommendation based on web usage mining using collaborative filtering technique. WSEAS Trans. Info. Sci. App. 6(1), 62\u201372 (2009)","journal-title":"WSEAS Trans. Info. Sci. App."},{"issue":"4","key":"53_CR25","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1016\/S0957-4174(02)00189-6","volume":"24","author":"ST Yuan","year":"2003","unstructured":"Yuan, S.T., Tsao, Y.: A recommendation mechanism for contextualized mobile advertising. Expert Syst. Appl. 24(4), 399\u2013414 (2003)","journal-title":"Expert Syst. Appl."}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-19823-7_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T01:23:56Z","timestamp":1721265836000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-19823-7_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030198220","9783030198237"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-19823-7_53","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"12 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Artificial Intelligence Applications and Innovations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hersonissos","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 May 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 May 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiai2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.aiai2019.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easyacademia.org","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"101","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}