{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T16:03:00Z","timestamp":1778601780824,"version":"3.51.4"},"reference-count":48,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2014,9,18]],"date-time":"2014-09-18T00:00:00Z","timestamp":1410998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000145","name":"Division of Information and Intelligent Systems","doi-asserted-by":"publisher","award":["CCF-1018151 and IIS-1256016"],"award-info":[{"award-number":["CCF-1018151 and IIS-1256016"]}],"id":[{"id":"10.13039\/100000145","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2012BAH17B03"],"award-info":[{"award-number":["2012BAH17B03"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61325010"],"award-info":[{"award-number":["61325010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61073110 and 71329201"],"award-info":[{"award-number":["61073110 and 71329201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000143","name":"Division of Computing and Communication Foundations","doi-asserted-by":"publisher","award":["CCF-1018151 and IIS-1256016"],"award-info":[{"award-number":["CCF-1018151 and IIS-1256016"]}],"id":[{"id":"10.13039\/100000143","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002338","name":"Ministry of Education of the People's Republic of China","doi-asserted-by":"publisher","award":["2.01E+13"],"award-info":[{"award-number":["2.01E+13"]}],"id":[{"id":"10.13039\/501100002338","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Intell. Syst. Technol."],"published-print":{"date-parts":[[2014,10]]},"abstract":"<jats:p>\n            Providing better travel services for tourists is one of the important applications in urban computing. Though many recommender systems have been developed for enhancing the quality of travel service, most of them lack a systematic and open framework to dynamically incorporate multiple types of additional context information existing in the tourism domain, such as the travel area, season, and price of travel packages. To that end, in this article, we propose an open framework, the\n            <jats:italic>Objected-Oriented Recommender System<\/jats:italic>\n            (ORS), for the developers performing personalized travel package recommendations to tourists. This framework has the ability to import all the available additional context information to the travel package recommendation process in a cost-effective way. Specifically, the different types of additional information are extracted and uniformly represented as feature--value pairs. Then, we define the Object, which is the collection of the feature--value pairs. We propose two models that can be used in the ORS framework for extracting the implicit relationships among Objects. The\n            <jats:italic>Objected-Oriented Topic Model<\/jats:italic>\n            (OTM) can extract the topics conditioned on the intrinsic feature--value pairs of the Objects. The\n            <jats:italic>Objected-Oriented Bayesian Network<\/jats:italic>\n            (OBN) can effectively infer the cotravel probability of two tourists by calculating the co-occurrence time of feature--value pairs belonging to different kinds of Objects. Based on the relationships mined by OTM or OBN, the recommendation list is generated by the collaborative filtering method. Finally, we evaluate these two models and the ORS framework on real-world travel package data, and the experimental results show that the ORS framework is more flexible in terms of incorporating additional context information, and thus leads to better performances for travel package recommendations. Meanwhile, for feature selection in ORS, we define the feature information entropy, and the experimental results demonstrate that using features with lower entropies usually leads to better recommendation results.\n          <\/jats:p>","DOI":"10.1145\/2542665","type":"journal-article","created":{"date-parts":[[2014,9,19]],"date-time":"2014-09-19T12:27:17Z","timestamp":1411129637000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":19,"title":["Object-Oriented Travel Package Recommendation"],"prefix":"10.1145","volume":"5","author":[{"given":"Chang","family":"Tan","sequence":"first","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Liu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enhong","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Xiong","sequence":"additional","affiliation":[{"name":"Rutgers University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Wu","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2014,9,18]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.99"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1718487.1718499"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2424321.2424348"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.16"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/1639714.1639734"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015394"},{"key":"e_1_2_1_7_1","volume-title":"Proceedings of the National Conference on Artificial Intelligence. John Wiley & Sons, 714--720","author":"Basu C.","year":"1998","unstructured":"C. Basu , H. Hirsh , W. Cohen , and others. 1998 . Recommendation as classification: Using social and content-based information in recommendation . In Proceedings of the National Conference on Artificial Intelligence. John Wiley & Sons, 714--720 . C. Basu, H. Hirsh, W. Cohen, and others. 1998. Recommendation as classification: Using social and content-based information in recommendation. In Proceedings of the National Conference on Artificial Intelligence. John Wiley & Sons, 714--720."},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944937"},{"key":"e_1_2_1_9_1","volume-title":"Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence (UAI\u201998)","author":"Breese John S.","year":"1998","unstructured":"John S. Breese , David Heckerman , and Carl Kadie . 1998 . Empirical analysis of predictive algorithms for collaborative filtering . In Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence (UAI\u201998) . Morgan Kaufmann, 43--52. John S. Breese, David Heckerman, and Carl Kadie. 1998. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence (UAI\u201998). Morgan Kaufmann, 43--52."},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1807167.1807216"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1639714.1639767"},{"key":"e_1_2_1_12_1","unstructured":"U. Fayyad and K. Irani. 1993. Multi-interval discretization of continuous-valued attributes for classification learning. JPL Technical Report (September 1993) 1022--1027.  U. Fayyad and K. Irani. 1993. Multi-interval discretization of continuous-valued attributes for classification learning. JPL Technical Report (September 1993) 1022--1027."},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.46"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020568"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0307752101"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772732"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2063576.2063680"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2004.08.013"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2011.2163711"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.233"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2011.118"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/MDM.2011.13"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2424321.2424349"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.3727\/109830510X12670455864203"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.5555\/1622637.1622644"},{"key":"e_1_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/192844.192905"},{"key":"e_1_2_1_28_1","first-page":"55","article-title":"Travel recommender systems","volume":"17","author":"Ricci F.","year":"2002","unstructured":"F. Ricci . 2002 . Travel recommender systems . IEEE Intelligent Systems 17 , 6 (2002), 55 -- 57 . F. Ricci. 2002. Travel recommender systems. IEEE Intelligent Systems 17, 6 (2002), 55--57.","journal-title":"IEEE Intelligent Systems"},{"key":"e_1_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.3727\/109830511X12978702284390"},{"key":"e_1_2_1_30_1","doi-asserted-by":"crossref","unstructured":"F. Ricci D. Cavada N. Mirzadeh and A. Venturini. 2006a. Case-based travel recommendations. Destination Recommendation Systems: Behavioural Foundations and Applications (2006) 67--93.  F. Ricci D. Cavada N. Mirzadeh and A. Venturini. 2006a. Case-based travel recommendations. Destination Recommendation Systems: Behavioural Foundations and Applications (2006) 67--93.","DOI":"10.1079\/9780851990231.0067"},{"key":"e_1_2_1_31_1","doi-asserted-by":"crossref","unstructured":"F. Ricci D. R. Fesenmaier N. Mirzadeh H. Rumetshofer E. Schaumlechner A. Venturini K. W. W\u00f6ber and A. H. Zins. 2006b. DieToRecs: A case-based travel advisory system. In Travel Destination Recommendation Systems: Behavioural Foundations and Applications. CABI Publishing Wallingford 227--239.  F. Ricci D. R. Fesenmaier N. Mirzadeh H. Rumetshofer E. Schaumlechner A. Venturini K. W. W\u00f6ber and A. H. Zins. 2006b. DieToRecs: A case-based travel advisory system. In Travel Destination Recommendation Systems: Behavioural Foundations and Applications. CABI Publishing Wallingford 227--239.","DOI":"10.1079\/9780851990231.0227"},{"key":"e_1_2_1_32_1","volume-title":"Mobyrek: A conversational recommender system for on-the-move travelers. Destination Recommendation Systems: Behavioural Foundations and Applications","author":"Ricci F.","year":"2006","unstructured":"F. Ricci and Q. N. Nguyen . 2006 . Mobyrek: A conversational recommender system for on-the-move travelers. Destination Recommendation Systems: Behavioural Foundations and Applications (2006), 281--294. F. Ricci and Q. N. Nguyen. 2006. Mobyrek: A conversational recommender system for on-the-move travelers. Destination Recommendation Systems: Behavioural Foundations and Applications (2006), 281--294."},{"key":"e_1_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.5555\/1036843.1036902"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"e_1_2_1_35_1","unstructured":"G. Shani and A. Gunawardana. 2009. Evaluating Recommender Systems. Microsoft Research Report MSR-TR-2009-159.  G. Shani and A. Gunawardana. 2009. Evaluating Recommender Systems. Microsoft Research Report MSR-TR-2009-159."},{"key":"e_1_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401969"},{"key":"e_1_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339730"},{"key":"e_1_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339562"},{"key":"e_1_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/1864708.1864739"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874291"},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-011-0419-8"},{"key":"e_1_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1869790.1869807"},{"key":"e_1_2_1_43_1","volume-title":"Proceedings of the 24th AAAI Conference on Artificial Intelligence.","author":"Zheng Vincent W.","year":"2010","unstructured":"Vincent W. Zheng , Bin Cao , Yu Zheng , Xing Xie , and Qiang Yang . 2010 . Collaborative filtering meets mobile recommendation: A user-centered approach . In Proceedings of the 24th AAAI Conference on Artificial Intelligence. Vincent W. Zheng, Bin Cao, Yu Zheng, Xing Xie, and Qiang Yang. 2010. Collaborative filtering meets mobile recommendation: A user-centered approach. In Proceedings of the 24th AAAI Conference on Artificial Intelligence."},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772795"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2012.02.002"},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/1889681.1889683"},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/1921591.1921596"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1000488107"}],"container-title":["ACM Transactions on Intelligent Systems and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2542665","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2542665","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T08:10:07Z","timestamp":1750234207000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2542665"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,9,18]]},"references-count":48,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2014,10]]}},"alternative-id":["10.1145\/2542665"],"URL":"https:\/\/doi.org\/10.1145\/2542665","relation":{},"ISSN":["2157-6904","2157-6912"],"issn-type":[{"value":"2157-6904","type":"print"},{"value":"2157-6912","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,9,18]]},"assertion":[{"value":"2012-10-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2013-11-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2014-09-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}