{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T13:12:15Z","timestamp":1777554735590,"version":"3.51.4"},"publisher-location":"Singapore","reference-count":14,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819605781","type":"print"},{"value":"9789819605798","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T00:00:00Z","timestamp":1732838400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T00:00:00Z","timestamp":1732838400000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-0579-8_12","type":"book-chapter","created":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T14:46:19Z","timestamp":1732805179000},"page":"159-173","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["An Effective Tag Assignment Approach for\u00a0Billboard Advertisement"],"prefix":"10.1007","author":[{"given":"Dildar","family":"Ali","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harishchandra","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suman","family":"Banerjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yamuna","family":"Prasad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,29]]},"reference":[{"key":"12_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1007\/978-3-031-22064-7_17","volume-title":"Advanced Data Mining and Applications - ADMA 2022","author":"D Ali","year":"2022","unstructured":"Ali, D., Banerjee, S., Prasad, Y.: Influential billboard slot selection using pruned submodularity graph. In: Chen, W., Yao, L., Cai, T., Pan, S., Shen, T., Li, X. (eds.) ADMA 2022. LNCS, vol. 13725, pp. 216\u2013230. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-22064-7_17"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Ali, D., Banerjee, S., Prasad, Y.: Influential billboard slot selection using spatial clustering and pruned submodularity graph. arXiv preprint arXiv:2305.08949 (2023)","DOI":"10.1007\/978-3-031-22064-7_17"},{"key":"12_CR3","unstructured":"Ali, D., Gupta, T., Banerjee, S., Prasad, Y.: Influential slot and tag selection in billboard advertisement. arXiv preprint arXiv:2401.10601 (2024)"},{"issue":"1","key":"12_CR4","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/s13278-021-00850-z","volume":"12","author":"S Banerjee","year":"2022","unstructured":"Banerjee, S., Pal, B.: Budgeted influence and earned benefit maximization with tags in social networks. Soc. Netw. Anal. Min. 12(1), 21 (2022)","journal-title":"Soc. Netw. Anal. Min."},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Dutta, A., Asaithambi, A.: One-to-many bipartite matching based coalition formation for multi-robot task allocation. In: 2019 International Conference on Robotics and Automation (ICRA), pp. 2181\u20132187. IEEE (2019)","DOI":"10.1109\/ICRA.2019.8793855"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Hall, P.: On representatives of subsets. J. Lond. Math. Soc. s1-10(1), 26\u201330 (1935)","DOI":"10.1112\/jlms\/s1-10.37.26"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Ke, X., Khan, A., Cong, G.: Finding seeds and relevant tags jointly: for targeted influence maximization in social networks. In: Proceedings of the 2018 International Conference on Management of Data, pp. 1097\u20131111 (2018)","DOI":"10.1145\/3183713.3199670"},{"issue":"1","key":"12_CR8","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1002\/nav.20053","volume":"52","author":"HW Kuhn","year":"2005","unstructured":"Kuhn, H.W.: The Hungarian method for the assignment problem. Naval Res. Logist. (NRL) 52(1), 7\u201321 (2005)","journal-title":"Naval Res. Logist. (NRL)"},{"key":"12_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1007\/3-540-49116-3_24","volume-title":"STACS 99","author":"R Preis","year":"1999","unstructured":"Preis, R.: Linear time 1\/2-approximation algorithm for maximum weighted matching in general graphs. In: Meinel, C., Tison, S. (eds.) STACS 1999. LNCS, vol. 1563, pp. 259\u2013269. Springer, Heidelberg (1999). https:\/\/doi.org\/10.1007\/3-540-49116-3_24"},{"key":"12_CR10","series-title":"Lecture Notes in Computer Science()","doi-asserted-by":"publisher","first-page":"772","DOI":"10.1007\/978-3-031-46661-8_51","volume-title":"Advanced Data Mining and Applications - ADMA 2023","author":"A Tekawade","year":"2023","unstructured":"Tekawade, A., Banerjee, S.: Influence maximization with tag revisited: exploiting the bi-submodularity of the tag-based influence function. In: Yang, X., et al. (eds.) ADMA 2023. LNCS, vol. 14176, pp. 772\u2013786. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-46661-8_51"},{"issue":"1","key":"12_CR11","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TSMC.2014.2327053","volume":"45","author":"D Yang","year":"2015","unstructured":"Yang, D., Zhang, D., Zheng, V.W., Yu, Z.: Modeling user activity preference by leveraging user spatial temporal characteristics in LBSNs. IEEE Trans. Syst. Man Cybern. Syst. 45(1), 129\u2013142 (2015)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"issue":"5","key":"12_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3350488","volume":"14","author":"P Zhang","year":"2020","unstructured":"Zhang, P., Bao, Z., Li, Y., Li, G., Zhang, Y., Peng, Z.: Towards an optimal outdoor advertising placement: when a budget constraint meets moving trajectories. ACM Trans. Knowl. Discov. Data (TKDD) 14(5), 1\u201332 (2020)","journal-title":"ACM Trans. Knowl. Discov. Data (TKDD)"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Li, Y., Bao, Z., Mo, S., Zhang, P.: Optimizing impression counts for outdoor advertising. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Anchorage, Alaska, pp.\u00a04\u20138 (2019)","DOI":"10.1145\/3292500.3330829"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Li, Y., Bao, Z., Zheng, B., Jagadish, H.: Minimizing the regret of an influence provider. In: Proceedings of the 2021 International Conference on Management of Data, pp. 2115\u20132127 (2021)","DOI":"10.1145\/3448016.3457257"}],"container-title":["Lecture Notes in Computer Science","Web Information Systems Engineering \u2013 WISE 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0579-8_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T15:04:10Z","timestamp":1732806250000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0579-8_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,29]]},"ISBN":["9789819605781","9789819605798"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0579-8_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,29]]},"assertion":[{"value":"29 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Doha","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Qatar","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","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":"wise2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/wise2024-qatar.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}