{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T00:05:41Z","timestamp":1726099541363},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030587987"},{"type":"electronic","value":"9783030587994"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-58799-4_41","type":"book-chapter","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T09:06:26Z","timestamp":1601456786000},"page":"557-571","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["How to Improve the Recommendation\u2019s Accuracy in POI Domains?"],"prefix":"10.1007","author":[{"given":"Luiz","family":"Chaves","sequence":"first","affiliation":[]},{"given":"N\u00edcollas","family":"Silva","sequence":"additional","affiliation":[]},{"given":"Rodrigo","family":"Carvalho","sequence":"additional","affiliation":[]},{"given":"Adriano C. M.","family":"Pereira","sequence":"additional","affiliation":[]},{"given":"Diego R. C.","family":"Dias","sequence":"additional","affiliation":[]},{"given":"Leonardo","family":"Rocha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,1]]},"reference":[{"key":"41_CR1","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1016\/j.procs.2013.05.200","volume":"18","author":"G Andrade","year":"2013","unstructured":"Andrade, G., Ramos, G., Madeira, D., Sachetto, R., Ferreira, R., Rocha, L.: G-DBSCAN: a GPU accelerated algorithm for density-based clustering. Procedia Comput. Sci. -ICCS 18, 369\u2013378 (2013)","journal-title":"Procedia Comput. Sci. -ICCS"},{"issue":"6","key":"41_CR2","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1109\/TKDE.2005.99","volume":"17","author":"G Adomavicius","year":"2005","unstructured":"Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734\u2013749 (2005)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"41_CR3","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."},{"key":"41_CR4","doi-asserted-by":"crossref","unstructured":"Chikhaoui, B., Chiazzaro, M., Wang, S.: An improved hybrid recommender system by combining predictions. In: 2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications (WAINA), pp. 644\u2013649 (2011)","DOI":"10.1109\/WAINA.2011.12"},{"key":"41_CR5","unstructured":"Cremonesi, P., Donatacci, A., Garzotto, F., Turrin, R.: Decision-making in recommender systems: the role of user\u2019s goals and bounded resources. In: Decisions@ RecSys, pp. 1\u20137 (2012)"},{"key":"41_CR6","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez-Tob\u00edas, I., Tomeo, P., Cantador, I., Di Noia, T., Di Sciascio, E.: Accuracy and diversity in cross-domain recommendations for cold-start users with positive-only feedback. In: Proceedings of the 10th ACM Conference on Recommender Systems, pp. 119\u2013122. ACM (2016)","DOI":"10.1145\/2959100.2959175"},{"key":"41_CR7","doi-asserted-by":"crossref","unstructured":"Gao, H., Tang, J., Hu, X., Liu, H.: Exploring temporal effects for location recommendation on location-based social networks. In: Proceedings of the 7th ACM Conference on Recommender Systems, pp. 93\u2013100. ACM (2013)","DOI":"10.1145\/2507157.2507182"},{"key":"41_CR8","doi-asserted-by":"crossref","unstructured":"Han, J., Yamana, H.: Geographical diversification in POI recommendation: toward improved coverage on interested areas. In: Proceedings of the Eleventh ACM Conference on Recommender Systems, pp. 224\u2013228. ACM (2017)","DOI":"10.1145\/3109859.3109884"},{"key":"41_CR9","doi-asserted-by":"crossref","unstructured":"Hu, L., Sun, A., Liu, Y.: Your neighbors affect your ratings: on geographical neighborhood influence to rating prediction. In: Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval, pp. 345\u2013354. ACM (2014)","DOI":"10.1145\/2600428.2609593"},{"issue":"2","key":"41_CR10","first-page":"202","volume":"11","author":"SS Kumar","year":"2015","unstructured":"Kumar, S.S., Ramachandran, T., Panboli, S.: Product recommendations over Facebook: the roles of influencing factors to induce online shopping. Asian Soc. Sci. 11(2), 202 (2015)","journal-title":"Asian Soc. Sci."},{"key":"41_CR11","doi-asserted-by":"crossref","unstructured":"Lacerda, A., Ziviani, N.: Building user profiles to improve user experience in recommender systems. In: Proceedings of the 6th ACM WSDM, pp. 759\u2013764 (2013)","DOI":"10.1145\/2433396.2433492"},{"key":"41_CR12","doi-asserted-by":"crossref","unstructured":"Li, X., Cong, G., Li, X.L., Pham, T.A.N., Krishnaswamy, S.: Rank-GeoFM: a ranking based geographical factorization method for point of interest recommendation. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 433\u2013442. ACM (2015)","DOI":"10.1145\/2766462.2767722"},{"key":"41_CR13","doi-asserted-by":"crossref","unstructured":"Lian, D., Zhao, C., Xie, X., Sun, G., Chen, E., Rui, Y.: GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 831\u2013840. ACM (2014)","DOI":"10.1145\/2623330.2623638"},{"key":"41_CR14","doi-asserted-by":"crossref","unstructured":"Liu, B., Fu, Y., Yao, Z., Xiong, H.: Learning geographical preferences for point-of-interest recommendation. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1043\u20131051. ACM (2013)","DOI":"10.1145\/2487575.2487673"},{"issue":"10","key":"41_CR15","doi-asserted-by":"publisher","first-page":"1010","DOI":"10.14778\/3115404.3115407","volume":"10","author":"Y Liu","year":"2017","unstructured":"Liu, Y., Pham, T.A.N., Cong, G., Yuan, Q.: An experimental evaluation of point-of-interest recommendation in location-based social networks. Proc. VLDB Endow. 10(10), 1010\u20131021 (2017)","journal-title":"Proc. VLDB Endow."},{"key":"41_CR16","doi-asserted-by":"crossref","unstructured":"Liu, Y., Wei, W., Sun, A., Miao, C.: Exploiting geographical neighborhood characteristics for location recommendation. In: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, pp. 739\u2013748. ACM (2014)","DOI":"10.1145\/2661829.2662002"},{"key":"41_CR17","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.dss.2015.03.008","volume":"74","author":"J Lu","year":"2015","unstructured":"Lu, J., Wu, D., Mao, M., Wang, W., Zhang, G.: Recommender system application developments: a survey. Decis. Support Syst. 74, 12\u201332 (2015)","journal-title":"Decis. Support Syst."},{"key":"41_CR18","doi-asserted-by":"publisher","unstructured":"Miller, H.J.: Tobler\u2019s first law and spatial analysis. Ann. Assoc. Am. Geogr. 94(2), 284\u2013289 (2004).https:\/\/doi.org\/10.1111\/j.1467-8306.2004.09402005.x","DOI":"10.1111\/j.1467-8306.2004.09402005.x"},{"key":"41_CR19","unstructured":"Mour\u00e3o, F.H.d.J.: A hybrid recommendation method that combines forgotten items and non-content attributes (2014)"},{"key":"41_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/978-3-540-72079-9_9","volume-title":"The Adaptive Web","author":"JB Schafer","year":"2007","unstructured":"Schafer, J.B., Frankowski, D., Herlocker, J., Sen, S.: Collaborative filtering recommender systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) The Adaptive Web. LNCS, vol. 4321, pp. 291\u2013324. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-72079-9_9"},{"key":"41_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.is.2018.09.001","volume":"80","author":"N Silva","year":"2019","unstructured":"Silva, N., Carvalho, D., Pereira, A.C., Mour\u00e3o, F., Rocha, L.: The pure cold-start problem: a deep study about how to conquer first-time users in recommendations domains. Inf. Syst. 80, 1\u201312 (2019)","journal-title":"Inf. Syst."},{"key":"41_CR22","doi-asserted-by":"crossref","unstructured":"Ye, M., Yin, P., Lee, W.C.: Location recommendation for location-based social networks. In: Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 458\u2013461. ACM (2010)","DOI":"10.1145\/1869790.1869861"},{"key":"41_CR23","doi-asserted-by":"crossref","unstructured":"Ye, M., Yin, P., Lee, W.C., Lee, D.L.: Exploiting geographical influence for collaborative point-of-interest recommendation. In: Proceedings of the 34th International ACM SIGIR, pp. 325\u2013334. ACM (2011)","DOI":"10.1145\/2009916.2009962"},{"key":"41_CR24","unstructured":"Yu, Y., Chen, X.: A survey of point-of-interest recommendation in location-based social networks. In: Workshops at the Twenty-Ninth AAAI Conference on Artificial Intelligence (2015)"},{"key":"41_CR25","doi-asserted-by":"crossref","unstructured":"Yuan, Q., Cong, G., Ma, Z., Sun, A., Thalmann, N.M.: Time-aware point-of-interest recommendation. In: Proceedings of the 36th International ACM SIGIR, pp. 363\u2013372. ACM (2013)","DOI":"10.1145\/2484028.2484030"},{"key":"41_CR26","doi-asserted-by":"crossref","unstructured":"Zhang, J.D., Chow, C.Y.: GeoSoCa: exploiting geographical, social and categorical correlations for point-of-interest recommendations. In: Proceedings of the 38th International ACM SIGIR, pp. 443\u2013452. ACM (2015)","DOI":"10.1145\/2766462.2767711"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58799-4_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T12:16:10Z","timestamp":1619180170000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58799-4_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030587987","9783030587994"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58799-4_41","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"1 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cagliari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccsa.org\/","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":"Cyber chair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1450","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":"466","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":"32","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":"32% - 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":"2.5","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":"6","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":"Conference was held virtually due to COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}
