{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T19:45:17Z","timestamp":1777059917027,"version":"3.51.4"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031306716","type":"print"},{"value":"9783031306723","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\/978-3-031-30672-3_12","type":"book-chapter","created":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T11:10:49Z","timestamp":1681384249000},"page":"179-194","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Intention-Aware User Modeling for\u00a0Personalized News Recommendation"],"prefix":"10.1007","author":[{"given":"Rongyao","family":"Wang","sequence":"first","affiliation":[]},{"given":"Shoujin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Wenpeng","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Xueping","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Weiyu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chaoqun","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Xinxiao","family":"Qiao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,4,14]]},"reference":[{"issue":"5","key":"12_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3511708","volume":"16","author":"Z Qiu","year":"2022","unstructured":"Qiu, Z., Hu, Y., Wu, X.: Graph neural news recommendation with user existing and potential interest modeling. ACM Trans. Knowl. Discov. Data 16(5), 1\u201317 (2022)","journal-title":"ACM Trans. Knowl. Discov. Data"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Li, J., Zhu, J., Bi, Q., et al.: MINER: multi-interest matching network for news recommendation. In: ACL, pp. 343\u2013352 (2022)","DOI":"10.18653\/v1\/2022.findings-acl.29"},{"issue":"5","key":"12_CR3","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1109\/MIS.2020.3026430","volume":"35","author":"S Wang","year":"2020","unstructured":"Wang, S., Pasi, G., Hu, L., Cao, L.: The era of intelligent recommendation: editorial on intelligent recommendation with advanced AI and learning. IEEE Intell. Syst. 35(5), 3\u20136 (2020)","journal-title":"IEEE Intell. Syst."},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Bansal, T., Das, M., Bhattacharyya, C.: Content driven user profiling for comment-worthy recommendations of news and blog articles. In: RecSys, pp. 195\u2013202 (2015)","DOI":"10.1145\/2792838.2800186"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Ge, S., Wu, C., et al.: Graph enhanced representation learning for news recommendation. In: WWW, pp. 2863\u20132869 (2020)","DOI":"10.1145\/3366423.3380050"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Wu, C., Wu, F., An, M., Huang, J., Huang, Y., Xie, X.: NPA: neural news recommendation with personalized attention. In: KDD, pp. 2576\u20132584 (2019)","DOI":"10.1145\/3292500.3330665"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Wu, C., Wu, F., Ge, S., Qi, T., Huang, Y., Xie, X.: Neural news recommendation with multi-head self-attention. In: EMNLP, pp. 6390\u20136395 (2019)","DOI":"10.18653\/v1\/D19-1671"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"An, M., Wu, F., Wu, C., Zhang, K., Liu, Z., Xie, X.: Neural news recommendation with long-and short-term user representations. In: ACL, pp. 336\u2013345 (2019)","DOI":"10.18653\/v1\/P19-1033"},{"issue":"2","key":"12_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2019.102142","volume":"57","author":"L Hu","year":"2020","unstructured":"Hu, L., Li, C., et al.: Graph neural news recommendation with long-term and short-term interest modeling. Inf. Process. Manage. 57(2), 102142 (2020)","journal-title":"Inf. Process. Manage."},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Wang, R., Wang, S., Lu, W., Peng, X.: News recommendation via multi-interest news sequence modelling. In: ICASSP, pp. 7942\u20137946 (2022)","DOI":"10.1109\/ICASSP43922.2022.9747149"},{"issue":"3","key":"12_CR11","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1007\/s10865-017-9899-y","volume":"41","author":"SJ Alley","year":"2018","unstructured":"Alley, S.J., Schoeppe, S., Rebar, A.L., et al.: Age differences in physical activity intentions and implementation intention preferences. J. Behav. Med. 41(3), 406\u2013415 (2018)","journal-title":"J. Behav. Med."},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Albarracin, D., Wyer Jr., R.S.: The cognitive impact of past behavior: influences on beliefs, attitudes, and future behavioral decisions. J. Pers. Soc. Psychol. 79(1), 5 (2000)","DOI":"10.1037\/\/0022-3514.79.1.5"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Qi, T., Wu, F., Wu, C., et al.: HieRec: hierarchical user interest modeling for personalized news recommendation. In: ACL, pp. 5446\u20135456 (2021)","DOI":"10.18653\/v1\/2021.acl-long.423"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Wang, J., Chen, Y., Wang, Z., Zhao, W.: Popularity-enhanced news recommendation with multi-view interest representation. In: CIKM, pp. 1949\u20131958 (2021)","DOI":"10.1145\/3459637.3482462"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Wang, S., Hu, L., et al.: Intention nets: psychology-inspired user choice behavior modeling for next-basket prediction. In: AAAI, pp. 6259\u20136266 (2020)","DOI":"10.1609\/aaai.v34i04.6093"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Wang, S., Hu, L., Wang, Y., et al.: Intention2Basket: a neural intention-driven approach for dynamic next-basket planning. In: IJCAI, pp. 2333\u20132339 (2021)","DOI":"10.24963\/ijcai.2020\/323"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Wang, W., Zhang, W., Liu, S., et al.: Incorporating link prediction into multi-relational item graph modeling for session-based recommendation. IEEE Trans. Knowl. Data Eng. 35(3), 2683\u20132696 (2021)","DOI":"10.1109\/TKDE.2021.3111436"},{"issue":"11","key":"12_CR18","doi-asserted-by":"publisher","first-page":"5403","DOI":"10.1109\/TKDE.2021.3050571","volume":"34","author":"H Li","year":"2022","unstructured":"Li, H., Wang, X., Zhang, Z., Ma, J., Cui, P., Zhu, W.: Intention-aware sequential recommendation with structured intent transition. IEEE Trans. Knowl. Data Eng. 34(11), 5403\u20135414 (2022)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"4","key":"12_CR19","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/MIS.2020.2997362","volume":"36","author":"S Wang","year":"2020","unstructured":"Wang, S., Cao, L., Hu, L., et al.: Hierarchical attentive transaction embedding with intra-and inter-transaction dependencies for next-item recommendation. IEEE Intell. Syst. 36(4), 56\u201364 (2020)","journal-title":"IEEE Intell. Syst."},{"key":"12_CR20","doi-asserted-by":"crossref","unstructured":"Wang, S., Xu, X., Zhang, X., et al.: Veracity-aware and event-driven personalized news recommendation for fake news mitigation. In: WWW, pp. 3673\u20133684 (2022)","DOI":"10.1145\/3485447.3512263"},{"key":"12_CR21","doi-asserted-by":"crossref","unstructured":"Wang, H., Wu, F., Liu, Z., Xie, X.: Fine-grained interest matching for neural news recommendation. In: ACL, pp. 836\u2013845 (2020)","DOI":"10.18653\/v1\/2020.acl-main.77"},{"issue":"12","key":"12_CR22","doi-asserted-by":"publisher","first-page":"25297","DOI":"10.1109\/TITS.2022.3182568","volume":"23","author":"W Lu","year":"2022","unstructured":"Lu, W., Wang, R., Wang, S., et al.: Aspect-driven user preference and news representation learning for news recommendation. IEEE Trans. Intell. Transp. Syst. 23(12), 25297\u201325307 (2022)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"12_CR23","doi-asserted-by":"crossref","unstructured":"Qi, T., Wu, F., Wu, C., Huang, Y.: News recommendation with candidate-aware user modeling. In: SIGIR, pp. 1917\u20131921 (2022)","DOI":"10.1145\/3477495.3531778"},{"key":"12_CR24","doi-asserted-by":"publisher","first-page":"109795","DOI":"10.1016\/j.asoc.2022.109795","volume":"131","author":"W Lu","year":"2022","unstructured":"Lu, W., et al.: Chinese sentence semantic matching based on multi-level relevance extraction and aggregation for intelligent human-robot interaction. Appl. Soft Comput. 131, 109795 (2022)","journal-title":"Appl. Soft Comput."},{"key":"12_CR25","doi-asserted-by":"crossref","unstructured":"Mao, Z., Zeng, X., Wong, K.F.: Neural news recommendation with collaborative news encoding and structural user encoding. In: EMNLP, pp. 46\u201355 (2021)","DOI":"10.18653\/v1\/2021.findings-emnlp.5"},{"key":"12_CR26","unstructured":"Wang, S., Zhang, X., Wang, Y., et al.: Trustworthy recommender systems. arXiv preprint arXiv:2208.062651(1), 1\u201316 (2022)"},{"key":"12_CR27","doi-asserted-by":"crossref","unstructured":"Chen, J., Cao, Y., Zhang, F., Sun, P., Wei, K.: Sequential intention-aware recommender based on user interaction graph. In: ICMR, pp. 118\u2013126 (2022)","DOI":"10.1145\/3512527.3531390"},{"key":"12_CR28","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.D.: Glove: global vectors for word representation. In: EMNLP, pp. 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"12_CR29","doi-asserted-by":"crossref","unstructured":"He, R., Lee, W.S., Ng, H.T., Dahlmeier, D.: An unsupervised neural attention model for aspect extraction. In: ACL, pp. 388\u2013397 (2017)","DOI":"10.18653\/v1\/P17-1036"},{"key":"12_CR30","unstructured":"Vaswani, A., et al.: Attention is all you need. In: NeurIPS, pp. 6000\u20136010 (2017)"},{"key":"12_CR31","doi-asserted-by":"crossref","unstructured":"Wu, C., Wu, F., An, M., Huang, J., Huang, Y.: Neural news recommendation with attentive multi-view learning. In: IJCAI, pp. 3863\u20133869 (2019)","DOI":"10.24963\/ijcai.2019\/536"},{"key":"12_CR32","unstructured":"Wu, C., Wu, F., Qi, T., Huang, Y., Xie, X.: FastFormer: additive attention can be all you need. arXiv preprint arXiv:2108.090841(1), 1\u201311 (2021)"},{"key":"12_CR33","doi-asserted-by":"crossref","unstructured":"Qi, T., Wu, F., Wu, C., Huang, Y.: FUM: fine-grained and fast user modeling for news recommendation. In: SIGIR, pp. 1974\u20131978 (2022)","DOI":"10.1145\/3477495.3531790"},{"issue":"8","key":"12_CR34","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R., Volinsky, C.: Matrix factorization techniques for recommender systems. Computer 42(8), 30\u201337 (2009)","journal-title":"Computer"},{"key":"12_CR35","doi-asserted-by":"crossref","unstructured":"Wang, H., Zhang, F., Xie, X., Guo, M.: DKN: deep knowledge-aware network for news recommendation. In: WWW, pp. 1835\u20131844 (2018)","DOI":"10.1145\/3178876.3186175"},{"key":"12_CR36","doi-asserted-by":"crossref","unstructured":"Wu, C., Wu, F., An, M., Huang, Y., Xie, X.: Neural news recommendation with topic-aware news representation. In: ACL, pp. 1154\u20131159 (2019)","DOI":"10.18653\/v1\/P19-1110"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-30672-3_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T17:23:37Z","timestamp":1710264217000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-30672-3_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031306716","9783031306723"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-30672-3_12","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":"14 April 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"17 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.tjudb.cn\/dasfaa2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"652","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":"125","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":"66","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":"19% - 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":"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":"7.3","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)"}}]}}