{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T14:36:26Z","timestamp":1775226986499,"version":"3.50.1"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031358937","type":"print"},{"value":"9783031358944","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-35894-4_27","type":"book-chapter","created":{"date-parts":[[2023,7,8]],"date-time":"2023-07-08T23:05:33Z","timestamp":1688857533000},"page":"366-382","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Modeling Users\u2019 Localized Preferences for\u00a0More Effective News Recommendation"],"prefix":"10.1007","author":[{"given":"Payam","family":"Pourashraf","sequence":"first","affiliation":[]},{"given":"Bamshad","family":"Mobasher","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,9]]},"reference":[{"key":"27_CR1","unstructured":"Agrawal, R., Srikant, R., et al.: Fast algorithms for mining association rules. In: Proceedings of 20th International Conferenc Very Large Data Bases, VLDB, vol. 1215, pp. 487\u2013499. Citeseer (1994)"},{"key":"27_CR2","doi-asserted-by":"crossref","unstructured":"Capelle, M., Frasincar, F., Moerland, M., Hogenboom, F.: Semantics-based news recommendation, pp. 1\u20139 (2012)","DOI":"10.1145\/2254129.2254163"},{"key":"27_CR3","doi-asserted-by":"crossref","unstructured":"Das, A.S., Datar, M., Garg, A., Rajaram, S.: Google news personalization: scalable online collaborative filtering, pp. 271\u2013280 (2007)","DOI":"10.1145\/1242572.1242610"},{"key":"27_CR4","unstructured":"Graff, R.: How the Washington post used data and natural language processing to get people to read more news. Knight Lab (2015)"},{"key":"27_CR5","doi-asserted-by":"crossref","unstructured":"Jannach, D., Ludewig, M.: When recurrent neural networks meet the neighborhood for session-based recommendation, pp. 306\u2013310 (2017)","DOI":"10.1145\/3109859.3109872"},{"issue":"4","key":"27_CR6","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1007\/s11257-020-09274-4","volume":"30","author":"D Jannach","year":"2020","unstructured":"Jannach, D., Mobasher, B., Berkovsky, S.: Research directions in session-based and sequential recommendation. User Model. User-Adapt. Interact. 30(4), 609\u2013616 (2020). https:\/\/doi.org\/10.1007\/s11257-020-09274-4","journal-title":"User Model. User-Adapt. Interact."},{"issue":"2","key":"27_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2512208","volume":"4","author":"G Jawaheer","year":"2014","unstructured":"Jawaheer, G., Weller, P., Kostkova, P.: Modeling user preferences in recommender systems: a classification framework for explicit and implicit user feedback. ACM Trans. Interact. Intell. Syst. (TiiS) 4(2), 1\u201326 (2014)","journal-title":"ACM Trans. Interact. Intell. Syst. (TiiS)"},{"issue":"2\u20133","key":"27_CR8","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.cosrev.2012.04.002","volume":"6","author":"M Kaminskas","year":"2012","unstructured":"Kaminskas, M., Ricci, F.: Contextual music information retrieval and recommendation: state of the art and challenges. Comput. Sci. Rev. 6(2\u20133), 89\u2013119 (2012)","journal-title":"Comput. Sci. Rev."},{"issue":"1","key":"27_CR9","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/s11257-011-9112-x","volume":"22","author":"JA Konstan","year":"2012","unstructured":"Konstan, J.A., Riedl, J.: Recommender systems: from algorithms to user experience. User Model. User-Adapt. Interact. 22(1), 101\u2013123 (2012)","journal-title":"User Model. User-Adapt. Interact."},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Liu, Q., Zeng, Y., Mokhosi, R., Zhang, H.: Stamp: short-term attention\/memory priority model for session-based recommendation, pp. 1831\u20131839 (2018)","DOI":"10.1145\/3219819.3219950"},{"key":"27_CR11","doi-asserted-by":"crossref","unstructured":"Ludewig, M., Jannach, D.: Evaluation of session-based recommendation algorithms. User Model. User-Adapt. Interact. 28(4\u20135), 331\u2013390 (2018)","DOI":"10.1007\/s11257-018-9209-6"},{"key":"27_CR12","doi-asserted-by":"crossref","unstructured":"Mobasher, B., Dai, H., Luo, T., Nakagawa, M.: Effective personalization based on association rule discovery from web usage data, pp. 9\u201315 (2001)","DOI":"10.1145\/502932.502935"},{"key":"27_CR13","volume-title":"Markov Chains","author":"JR Norris","year":"1998","unstructured":"Norris, J.R., Norris, J.R.: Markov Chains, 2nd edn. Cambridge University Press, Cambridge (1998)","edition":"2"},{"key":"27_CR14","doi-asserted-by":"crossref","unstructured":"\u00d6zg\u00f6bek, \u00d6., Gulla, J.A., Erdur, R.C.: A survey on challenges and methods in news recommendation, pp. 278\u2013285 (2014)","DOI":"10.5220\/0004844202780285"},{"key":"27_CR15","doi-asserted-by":"crossref","unstructured":"Parra, D., Sahebi, S.: Recommender systems: sources of knowledge and evaluation metrics, pp. 149\u2013175 (2013)","DOI":"10.1007\/978-3-642-33326-2_7"},{"key":"27_CR16","doi-asserted-by":"crossref","unstructured":"Pourashraf, P., Mobasher, B.: Using recommender systems to help revitalize local news. In: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, pp. 80\u201384 (2022)","DOI":"10.1145\/3511047.3536411"},{"key":"27_CR17","unstructured":"Qin, J.: Research progress of news recommendation methods. arXiv preprint arXiv:2012.02360 (2020)"},{"key":"27_CR18","unstructured":"Raza, S., Ding, C.: A survey on news recommender system-dealing with timeliness, dynamic user interest and content quality, and effects of recommendation on news readers. arXiv preprint arXiv:2009.04964 (2020)"},{"issue":"1","key":"27_CR19","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1007\/s10462-021-10043-x","volume":"55","author":"S Raza","year":"2021","unstructured":"Raza, S., Ding, C.: News recommender system: a review of recent progress, challenges, and opportunities. Artif. Intell. Rev. 55(1), 749\u2013800 (2021). https:\/\/doi.org\/10.1007\/s10462-021-10043-x","journal-title":"Artif. Intell. Rev."},{"key":"27_CR20","doi-asserted-by":"crossref","unstructured":"Shoemaker, P.J.: News and newsworthiness: a commentary (2006)","DOI":"10.1515\/COMMUN.2006.007"},{"key":"27_CR21","doi-asserted-by":"crossref","unstructured":"de Souza Pereira Moreira, G.: Chameleon: a deep learning meta-architecture for news recommender systems, pp. 578\u2013583 (2018)","DOI":"10.1145\/3240323.3240331"},{"key":"27_CR22","unstructured":"Spangher, A.: Building the next new york times recommendation engine. The New York Times (2015)"},{"key":"27_CR23","doi-asserted-by":"crossref","unstructured":"Sun, K., Qian, T., Chen, T., Liang, Y., Nguyen, Q.V.H., Yin, H.: Where to go next: modeling long-and short-term user preferences for point-of-interest recommendation, vol. 34, no. 01, pp. 214\u2013221 (2020)","DOI":"10.1609\/aaai.v34i01.5353"},{"issue":"4","key":"27_CR24","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1007\/s11257-020-09261-9","volume":"30","author":"P Symeonidis","year":"2020","unstructured":"Symeonidis, P., Kirjackaja, L., Zanker, M.: Session-aware news recommendations using random walks on time-evolving heterogeneous information networks. User Model. User-Adapt. Interact. 30(4), 727\u2013755 (2020). https:\/\/doi.org\/10.1007\/s11257-020-09261-9","journal-title":"User Model. User-Adapt. Interact."},{"key":"27_CR25","unstructured":"Villatel, K., Smirnova, E., Mary, J., Preux, P.: Recurrent neural networks for long and short-term sequential recommendation. arXiv preprint arXiv:1807.09142 (2018)"},{"key":"27_CR26","doi-asserted-by":"crossref","unstructured":"Wang, S., Zou, B., Li, C., Zhao, K., Liu, Q., Chen, H.: Crown: a context-aware recommender for web news, pp. 1420\u20131423 (2015)","DOI":"10.1109\/ICDE.2015.7113391"},{"key":"27_CR27","unstructured":"Wu, C., Wu, F., Huang, Y., Xie, X.: Personalized news recommendation: a survey. arXiv preprint arXiv:2106.08934 (2021)"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in HCI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35894-4_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T21:17:12Z","timestamp":1729718232000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35894-4_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031358937","9783031358944"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35894-4_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"9 July 2023","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":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.hci.international\/","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":"CMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7472","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":"1578","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":"396","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":"21% - 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","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":"2","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)"}}]}}