{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T12:05:07Z","timestamp":1725883507392},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319565378"},{"type":"electronic","value":"9783319565385"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-56538-5_50","type":"book-chapter","created":{"date-parts":[[2017,3,28]],"date-time":"2017-03-28T02:10:58Z","timestamp":1490667058000},"page":"493-502","source":"Crossref","is-referenced-by-count":9,"title":["Prediction and Analysis of Hotel Ratings from Crowd-Sourced Data"],"prefix":"10.1007","author":[{"given":"F\u00e1tima","family":"Leal","sequence":"first","affiliation":[]},{"given":"Benedita","family":"Malheiro","sequence":"additional","affiliation":[]},{"given":"Juan Carlos","family":"Burguillo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,3,29]]},"reference":[{"key":"50_CR1","unstructured":"Akerkar, R.: Big Data & tourism. Technical report, Technomathmatics Research Foundation (2012)"},{"key":"50_CR2","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1016\/j.ins.2014.01.015","volume":"275","author":"CP Chen","year":"2014","unstructured":"Chen, C.P., Zhang, C.-Y.: Data-intensive applications, challenges, techniques and technologies: a survey on Big Data. Inf. Sci. 275, 314\u2013347 (2014)","journal-title":"Inf. Sci."},{"key":"50_CR3","doi-asserted-by":"crossref","unstructured":"Chen, J.-H., Chao, K.-M., Shah, N.: Hybrid recommendation system for tourism. In: 2013 IEEE 10th International Conference on e-Business Engineering (ICEBE), pp. 156\u2013161. IEEE (2013)","DOI":"10.1109\/ICEBE.2013.24"},{"issue":"2","key":"50_CR4","first-page":"171","volume":"19","author":"M Chen","year":"2014","unstructured":"Chen, M., Mao, S., Liu, Y.: Big Data: a survey. Inf. Sci. 19(2), 171\u2013209 (2014)","journal-title":"Inf. Sci."},{"issue":"4","key":"50_CR5","first-page":"347","volume":"17","author":"Y-F Chen","year":"2016","unstructured":"Chen, Y.-F., Law, R.: A review of research on electronic word-of-mouth in hospitality and tourism management. Inf. Sci. 17(4), 347\u2013372 (2016)","journal-title":"Inf. Sci."},{"key":"50_CR6","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-54089-9","volume-title":"Open Tourism: Open Innovation","author":"R Egger","year":"2016","unstructured":"Egger, R., Gula, I., Walcher, D.: Open Tourism: Open Innovation. Crowdsourcing and Co-Creation Challenging the Tourism Industry. Springer, Heidelberg (2016)"},{"key":"50_CR7","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1016\/j.tourman.2015.07.018","volume":"52","author":"B Fang","year":"2016","unstructured":"Fang, B., Ye, Q., Kucukusta, D., Law, R.: Analysis of the perceived value of online tourism reviews: influence of readability and reviewer characteristics. Tour. Manag. 52, 498\u2013506 (2016)","journal-title":"Tour. Manag."},{"key":"50_CR8","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1007\/978-3-642-32273-0_9","volume-title":"E-Commerce and Web Technologies","author":"M Fuchs","year":"2012","unstructured":"Fuchs, M., Zanker, M.: Multi-criteria ratings for recommender systems: an empirical analysis in the tourism domain. In: Huemer, C., Lops, P. (eds.) EC-Web 2012. LNBIP, vol. 123, pp. 100\u2013111. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-32273-0_9"},{"issue":"2","key":"50_CR9","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.ijinfomgt.2014.10.007","volume":"35","author":"A Gandomi","year":"2015","unstructured":"Gandomi, A., Haider, M.: Beyond the hype: Big Data concepts, methods, and analytics. Int. J. Inf. Manage. 35(2), 137\u2013144 (2015)","journal-title":"Int. J. Inf. Manage."},{"key":"50_CR10","unstructured":"Gula, I.: Crowdsourcing in the tourism industry\u2013using the example ofideas competitions in tourism destinations. In: Proceedings of the International Student Conference in Tourism Research, ISCONTOUR 2013, p. 147. BoD-Books on Demand (2013)"},{"key":"50_CR11","doi-asserted-by":"crossref","unstructured":"Hu, Y. , Koren, Y., Volinsky, C.: Collaborative filtering for implicit feedback datasets. In: 2008 Eighth IEEE International Conference on Data Mining, pp. 263\u2013272. IEEE (2008)","DOI":"10.1109\/ICDM.2008.22"},{"key":"50_CR12","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1007\/978-3-7091-1142-0_28","volume-title":"Information and Communication Technologies in Tourism 2012: Proceedings of the International Conference in Helsingborg, Sweden","author":"D Jannach","year":"2012","unstructured":"Jannach, D., Gedikli, F., Karakaya, Z., Juwig, O.: Recommending hotels based on multi-dimensional customer ratings. In: Fuchs, M., Ricci, F., Cantoni, L. (eds.) Information and Communication Technologies in Tourism 2012: Proceedings of the International Conference in Helsingborg, Sweden, pp. 320\u2013331. Springer, Vienna (2012)"},{"issue":"7","key":"50_CR13","first-page":"2561","volume":"74","author":"K Kambatla","year":"2014","unstructured":"Kambatla, K., Kollias, G., Kumar, V., Grama, A.: Trends in big data analytics. Int. J. Inf. Manage. 74(7), 2561\u20132573 (2014)","journal-title":"Int. J. Inf. Manage."},{"issue":"8","key":"50_CR14","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R., Volinsky, C., et al.: Matrix factorization techniques for recommender systems. Computer 42(8), 30\u201337 (2009)","journal-title":"Computer"},{"key":"50_CR15","doi-asserted-by":"crossref","unstructured":"Leal, F., Dias, J.M., Malheiro, B., Burguillo, J.C.: Analysis and visualisation of crowd-sourced tourism data. In: Proceedings of the Ninth International C* Conference on Computer Science and Software Engineering, C3S2E 2016, pp. 98\u2013101. ACM, New York (2016)","DOI":"10.1145\/2948992.2949008"},{"key":"50_CR16","unstructured":"Leal, F., Malheiro, B., Burguillo, J.C.: Recommendation of tourism resources supported by crowdsourcing. In: ENTER 2016 PhD Workshop, International Conference on Information and Communication Technologies in Tourism 2016, pp. 18\u201325 (2016)"},{"key":"50_CR17","unstructured":"Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.H.: Big Data: The Next frontier for Innovation, Competition, and Productivity. McKinsey Global Institute (2011)"},{"issue":"2","key":"50_CR18","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1111\/j.2517-6161.1990.tb01786.x","volume":"52","author":"M Stone","year":"1990","unstructured":"Stone, M., Brooks, R.J.: Continuum regression: cross-validated sequentially constructed prediction embracing ordinary least squares, partial least squares and principal components regression. J. Roy. Stat. Soc. 52(2), 237\u2013269 (1990)","journal-title":"J. Roy. Stat. Soc."},{"key":"50_CR19","unstructured":"Sykes, A.O.: An introduction to regression analysis. In: Posner, E.A. (ed.) Chicago Lectures in Law and Economics. Foundation Press, New York (2000)"},{"key":"50_CR20","doi-asserted-by":"crossref","unstructured":"Tak\u00e1cs, G., Tikk, D.: Alternating least squares for personalized ranking. In: Proceedings of the Sixth ACM Conference on Recommender Systems, RecSys 2012, pp. 83\u201390. ACM, New York (2012)","DOI":"10.1145\/2365952.2365972"},{"key":"50_CR21","unstructured":"Tranmer, M., Elliot, M.: Multiple linear regression. The Cathie Marsh Centre for Census and Survey Research (CCSR) (2008)"},{"key":"50_CR22","doi-asserted-by":"crossref","unstructured":"Wang, H., Lu, Y., Zhai, C.: Latent aspect rating analysis on review text data: a rating regression approach. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2010, pp. 783\u2013792. ACM, New York (2010)","DOI":"10.1145\/1835804.1835903"},{"key":"50_CR23","doi-asserted-by":"crossref","unstructured":"Wang, H., Lu, Y., Zhai, C.: Latent aspect rating analysis without aspect keyword supervision. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2011, pp. 618\u2013626. ACM, New York (2011)","DOI":"10.1145\/2020408.2020505"},{"issue":"1","key":"50_CR24","first-page":"1247","volume":"34","author":"HJ Watson","year":"2014","unstructured":"Watson, H.J.: Tutorial: big data analytics: concepts, technologies, and applications. Int. J. Inf. Manage. 34(1), 1247\u20131268 (2014)","journal-title":"Int. J. Inf. Manage."},{"key":"50_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/978-3-540-68880-8_32","volume-title":"Algorithmic Aspects in Information and Management","author":"Y Zhou","year":"2008","unstructured":"Zhou, Y., Wilkinson, D., Schreiber, R., Pan, R.: Large-scale parallel collaborative filtering for the Netflix prize. In: Fleischer, R., Xu, J. (eds.) AAIM 2008. LNCS, vol. 5034, pp. 337\u2013348. Springer, Heidelberg (2008). doi: 10.1007\/978-3-540-68880-8_32"}],"container-title":["Advances in Intelligent Systems and Computing","Recent Advances in Information Systems and Technologies"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-56538-5_50","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,23]],"date-time":"2024-06-23T07:57:21Z","timestamp":1719129441000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-56538-5_50"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319565378","9783319565385"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-56538-5_50","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2017]]}}}