{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T09:05:28Z","timestamp":1724058328158},"reference-count":42,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Systems"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1016\/j.is.2022.102023","type":"journal-article","created":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T17:18:36Z","timestamp":1647364716000},"page":"102023","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"special_numbering":"C","title":["Sequence recommendations for groups: A dynamic approach to balance preferences"],"prefix":"10.1016","volume":"108","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-3675-7243","authenticated-orcid":false,"given":"Sara","family":"Migliorini","sequence":"first","affiliation":[]},{"given":"Elisa","family":"Quintarelli","sequence":"additional","affiliation":[]},{"given":"Mauro","family":"Gambini","sequence":"additional","affiliation":[]},{"given":"Alberto","family":"Belussi","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3467-1166","authenticated-orcid":false,"given":"Damiano","family":"Carra","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"6","key":"10.1016\/j.is.2022.102023_b1","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1109\/TKDE.2005.99","article-title":"Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions","volume":"17","author":"Adomavicius","year":"2005","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"10.1016\/j.is.2022.102023_b2","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s10844-018-0542-3","article-title":"A survey on group recommender systems","volume":"54","author":"Dara","year":"2020","journal-title":"J. Intell. Inf. Syst."},{"issue":"3","key":"10.1016\/j.is.2022.102023_b3","doi-asserted-by":"crossref","first-page":"1195","DOI":"10.1109\/TKDE.2019.2936475","article-title":"Social-enhanced attentive group recommendation","volume":"33","author":"Cao","year":"2021","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.is.2022.102023_b4","series-title":"Proc. of ECSCW 2001, 7th European Conference on Computer Supported Cooperative Work","first-page":"199","article-title":"Olylens: A recommender system for groups of user","author":"O\u2019Connor","year":"2001"},{"key":"10.1016\/j.is.2022.102023_b5","series-title":"Proceedings of the 10th ACM Conference on Recommender Systems","first-page":"285","article-title":"Recommending new items to ephemeral groups using contextual user influence","author":"Quintarelli","year":"2016"},{"issue":"1","key":"10.1016\/j.is.2022.102023_b6","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1145\/1055709.1055714","article-title":"Incorporating contextual information in recommender systems using a multidimensional approach","volume":"23","author":"Adomavicius","year":"2005","journal-title":"ACM Trans. Inf. Syst."},{"issue":"1","key":"10.1016\/j.is.2022.102023_b7","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1023\/B:USER.0000010138.79319.fd","article-title":"Group modeling: Selecting a sequence of television items to suit a group of viewers","volume":"14","author":"Masthoff","year":"2004","journal-title":"User Model. User-Adapt. Interact."},{"key":"10.1016\/j.is.2022.102023_b8","series-title":"Proceedings of the Eleventh ACM Conference on Recommender Systems","first-page":"107","article-title":"Fairness-aware group recommendation with Pareto-efficiency","author":"Xiao","year":"2017"},{"key":"10.1016\/j.is.2022.102023_b9","series-title":"Proceedings of the 34th ACM\/SIGAPP Symposium on Applied Computing","first-page":"1663","article-title":"Top-n group recommendations with fairness","author":"Sacharidis","year":"2019"},{"issue":"24","key":"10.1016\/j.is.2022.102023_b10","doi-asserted-by":"crossref","first-page":"26031","DOI":"10.1007\/s11042-017-4869-5","article-title":"Recommendation in museums: paths, sequences, and group satisfaction maximization","volume":"76","author":"Rossi","year":"2017","journal-title":"Multimedia Tools Appl."},{"key":"10.1016\/j.is.2022.102023_b11","series-title":"SIGIR \u201918","first-page":"545","article-title":"Top-k route search through submodularity modeling of recurrent poi features","author":"Liang","year":"2018"},{"issue":"4","key":"10.1016\/j.is.2022.102023_b12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3190616","article-title":"Sequence-aware recommender systems","volume":"51","author":"Quadrana","year":"2018","journal-title":"ACM Comput. Surv."},{"key":"10.1016\/j.is.2022.102023_b13","series-title":"Recommender Systems Handbook","first-page":"743","article-title":"Group recommender systems: aggregation, satisfaction and group attributes","author":"Masthoff","year":"2015"},{"key":"10.1016\/j.is.2022.102023_b14","series-title":"2018 IEEE International Congress on Big Data","first-page":"255","article-title":"Adaptive trip recommendation system: Balancing travelers among pois with mapreduce","author":"Migliorini","year":"2018"},{"key":"10.1016\/j.is.2022.102023_b15","series-title":"2019 IEEE International Congress on Big Data","first-page":"121","article-title":"Sequences of recommendations for dynamic groups: What is the role of context?","author":"Migliorini","year":"2019"},{"key":"10.1016\/j.is.2022.102023_b16","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.knosys.2016.08.014","article-title":"A survey of serendipity in recommender systems","volume":"111","author":"Denis","year":"2016","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.is.2022.102023_b17","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1108\/eb026526","article-title":"A statistical interpretation of term specificity and its application in retrieval","volume":"28","author":"Sp\u00e4rck\u00a0Jones","year":"1972","journal-title":"J. Doc."},{"issue":"14","key":"10.1016\/j.is.2022.102023_b18","first-page":"2009","article-title":"A visited item frequency based recommender system: Experimental evaluation and scenario description","volume":"17","author":"Konow","year":"2011","journal-title":"J. UCS"},{"key":"10.1016\/j.is.2022.102023_b19","series-title":"A quantitative measure of fairness and discrimination for resource allocation in shared computer systems","author":"Jain","year":"1998"},{"issue":"4","key":"10.1016\/j.is.2022.102023_b20","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1002\/(SICI)1099-1360(199907)8:4<221::AID-MCDA247>3.0.CO;2-O","article-title":"Mosa method: a tool for solving multiobjective combinatorial optimization problems","volume":"8","author":"Ulungu","year":"1999","journal-title":"J. Multi-Criteria Decis. Anal."},{"key":"10.1016\/j.is.2022.102023_b21","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.procs.2014.09.077","article-title":"Computational complexity measures for many-objective optimization problems","volume":"36","author":"Curry","year":"2014","journal-title":"Procedia Comput. Sci."},{"issue":"9","key":"10.1016\/j.is.2022.102023_b22","doi-asserted-by":"crossref","first-page":"1849","DOI":"10.1016\/j.compchemeng.2004.02.037","article-title":"Study of simulated annealing based algorithms for multiobjective optimization of a constrained problem","volume":"28","author":"Suman","year":"2004","journal-title":"Comput. Chem. Eng."},{"key":"10.1016\/j.is.2022.102023_b23","series-title":"Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing","author":"Aarts","year":"1989"},{"key":"10.1016\/j.is.2022.102023_b24","series-title":"Parallel Processing and Applied Mathematics","first-page":"210","article-title":"Three parallel algorithms for simulated annealing","author":"Czech","year":"2002"},{"key":"10.1016\/j.is.2022.102023_b25","series-title":"The World Wide Web Conference, WWW \u201919","first-page":"2147","article-title":"Revisiting user mobility and social relationships in LBSNs: A hypergraph embedding approach","author":"Yang","year":"2019"},{"key":"10.1016\/j.is.2022.102023_b26","first-page":"1","article-title":"LBSN2Vec++: heterogeneous hypergraph embedding for location-based social networks","author":"Yang","year":"2020","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.is.2022.102023_b27","series-title":"Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management","first-page":"739","article-title":"Exploiting geographical neighborhood characteristics for location recommendation","author":"Liu","year":"2014"},{"key":"10.1016\/j.is.2022.102023_b28","series-title":"Proceedings of the 22nd ACM International Conference on Information & Knowledge Management","first-page":"733","article-title":"Personalized point-of-interest recommendation by mining users\u2019 preference transition","author":"Liu","year":"2013"},{"key":"10.1016\/j.is.2022.102023_b29","series-title":"Recommender Systems Handbook","first-page":"1","article-title":"Recommender systems: introduction and challenges","author":"Ricci","year":"2015"},{"key":"10.1016\/j.is.2022.102023_b30","series-title":"Recommender Systems Handbook","first-page":"37","article-title":"A comprehensive survey of neighborhood-based recommendation methods","author":"Ning","year":"2015"},{"key":"10.1016\/j.is.2022.102023_b31","series-title":"Recommendation to Groups","first-page":"596","author":"Jameson","year":"2007"},{"key":"10.1016\/j.is.2022.102023_b32","series-title":"Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval","first-page":"243","article-title":"Recommending social media content to community owners","author":"Ronen","year":"2014"},{"key":"10.1016\/j.is.2022.102023_b33","series-title":"AAAI, Vol. 14","first-page":"1861","article-title":"Deep modeling of group preferences for group-based recommendation","author":"Hu","year":"2014"},{"key":"10.1016\/j.is.2022.102023_b34","article-title":"A POI group recommendation method in location-based social networks based on user influence","volume":"171","author":"Sojahrood","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.is.2022.102023_b35","series-title":"Proceedings of the 26th International Joint Conference on Artificial Intelligence","first-page":"3654","article-title":"Exploiting music play sequence for music recommendation","author":"Cheng","year":"2017"},{"key":"10.1016\/j.is.2022.102023_b36","series-title":"Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence","first-page":"2667","article-title":"Selecting sequences of items via submodular maximization","author":"T","year":"2017"},{"key":"10.1016\/j.is.2022.102023_b37","series-title":"Proceedings of the 8th Annual Meeting of the Forum on Information Retrieval Evaluation","first-page":"8","article-title":"CSRS: a context and sequence aware recommendation system","author":"Srivastava","year":"2016"},{"issue":"4","key":"10.1016\/j.is.2022.102023_b38","doi-asserted-by":"crossref","first-page":"285","DOI":"10.3390\/ijgi9040285","article-title":"Exploiting two-dimensional geographical and synthetic social influences for location recommendation","volume":"9","author":"Liu","year":"2020","journal-title":"ISPRS Int. J. Geo Inf."},{"issue":"10","key":"10.1016\/j.is.2022.102023_b39","doi-asserted-by":"crossref","first-page":"433","DOI":"10.3390\/ijgi8100433","article-title":"Dynamic recommendation of POI sequence responding to historical trajectory","volume":"8","author":"Huang","year":"2019","journal-title":"ISPRS Int. J. Geo Inf."},{"issue":"4","key":"10.1016\/j.is.2022.102023_b40","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2020.102251","article-title":"Location recommendation by combining geographical, categorical, and social preferences with location popularity","volume":"57","author":"Ma","year":"2020","journal-title":"Inf. Process. Manag."},{"key":"10.1016\/j.is.2022.102023_b41","series-title":"UMAP Workshops","article-title":"Sequential music recommendations for groups by balancing user satisfaction","author":"Piliponyte","year":"2013"},{"key":"10.1016\/j.is.2022.102023_b42","series-title":"Proceedings of the Eleventh ACM Conference on Recommender Systems","first-page":"402","article-title":"Recommending a sequence of points of interest to a group of users in a mobile context","author":"Herzog","year":"2017"}],"container-title":["Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306437922000266?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306437922000266?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,1,29]],"date-time":"2023-01-29T08:26:46Z","timestamp":1674980806000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0306437922000266"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":42,"alternative-id":["S0306437922000266"],"URL":"https:\/\/doi.org\/10.1016\/j.is.2022.102023","relation":{},"ISSN":["0306-4379"],"issn-type":[{"value":"0306-4379","type":"print"}],"subject":[],"published":{"date-parts":[[2022,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Sequence recommendations for groups: A dynamic approach to balance preferences","name":"articletitle","label":"Article Title"},{"value":"Information Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.is.2022.102023","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"102023"}}