Using online consumer reviews as a source for demographic recommendations: A case study using online travel reviews

Expert Systems with Applications

Volumn 40, Issue 14, 2013, Pages 5507-5515

  Korfiatis, Nikolaos ^a   Poulos, Marios ^b  

^a GOETHE UNIVERSITY   (Germany)

^b IONIAN UNIVERSITY   (Greece)

Author keywords

Demographic recommendations; Experience goods; Online reviews; Recommender systems; User preferences

Indexed keywords

ALGEBRAIC APPROACHES; DEMAND CHARACTERISTICS; DEMOGRAPHIC RECOMMENDATIONS; EXPERIENCE GOODS; ONLINE CONSUMER REVIEWS; ONLINE REVIEWS; PRODUCTS AND SERVICES; USER PREFERENCES;

ARCHITECTURE; ELECTRONIC COMMERCE; ONLINE SYSTEMS; POPULATION STATISTICS; QUALITY OF SERVICE; RECOMMENDER SYSTEMS; SALES;

NETWORK ARCHITECTURE;

EID: 84877869306     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2013.03.046     Document Type: Article

References (45)

1. G. Adomavicius, and A. Tuzhilin Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions IEEE Transactions on Knowledge and Data Engineering 17 6 2005 734 749 (Pubitemid 40860454)
2. N. Archak, A. Ghose, and P. Ipeirotis Deriving the pricing power of product features by mining consumer reviews Management Science 57 8 2011 1485 1509
3. A. Atilla Measuring service quality in the hotel industry: A study in a business hotel in Turkey International Journal of Hospitality Management 25 2 2006 170 192 10.1016/j.ijhm.2005.08.006 (Pubitemid 44172050)
4. S.L. Basala, and D.B. Klenosky Travel-style preferences for visiting a novel destination: A conjoint investigation across the novelty-familiarity continuum Journal of Travel Research 40 2 2001 172 182 (Pubitemid 34156020)
5. D. Buhalis, and R. Law Progress in information technology and tourism management: 20 years on and 10 years after the Internet - The state of eTourism research Tourism Management 29 4 2008 609 623
6. R. Burke Hybrid web recommender systems P. Brusilovsky, A. Kobsa, W. Nejdl, The adaptive web Vol. 4321 2007 Springer Berlin/Heidelberg 377 408 Retrieved from http://www.springerlink.com/content/9157265121203453/abstract/ (Pubitemid 351189204)
7. L.A. Cai, R. Feng, and D. Breiter Tourist purchase decision involvement and information preferences Journal of Vacation Marketing 10 2 2004 138 148
8. Y. Chen, J. Xie, and M.C. Hall Online consumer review: Word-of-mouth as a new element of marketing communication mix Management Science 54 3 2008 477 491 (Pubitemid 351463128)
9. J.A. Chevalier, and D. Mayzlin The effect of Word of mouth on sales: Online book reviews Journal of Marketing Research 43 3 2006 345 354 (Pubitemid 44367333)
10. R. Colomo-Palacios, Á. García-Crespo, P. Soto-Acosta, M. Ruano-Mayoral, and D. Jiménez-López A case analysis of semantic technologies for R&D intermediation information management International Journal of Information Management 30 5 2010 465 469
11. J. Delgado, and R. Davidson Knowledge bases and user profiling in travel and hospitality recommender systems Proceedings of the 9th international conference on information technologies in tourism. Presented at the ENTER'02 2002 Springer Innsbruck, Austria, Heidelberg 1 16
12. U. Dulleck, and R. Kerschbamer On doctors, mechanics, and computer specialists: The economics of credence goods Journal of Economic Literature 2006 5 42 (Pubitemid 43563710)
13. U. Dulleck, R. Kerschbamer, and M. Sutter The economics of credence goods: An experiment on the role of liability, verifiability, reputation, and competition The American Economic Review 101 2 2011 526 555
14. D.R. Fesenmaier, K.W. Wöber, and H. Werthner Destination recommendation systems: Behavioral foundations and applications CABI 2006
15. García-Barriocanal, E., Sicilia, M.-A., & Korfiatis, N. (2010). Exploring hotel service quality experience indicators in user-generated content: a case using Tripadvisor data. In Proceedings of the 5th mediteranian conference on information systems (MCIS 2010). Presented at the MCIS 2010, Tel-Aviv, Israel: Association of information systems (AIS).
16. Á. García-Crespo, R. Colomo-Palacios, J.M. Gómez-Berbís, and B. Ruiz-Mezcua SEMO: A framework for customer social networks analysis based on semantics Journal of Information Technology 25 2 2010 178 188
17. Á. García-Crespo, J.L. López-Cuadrado, R. Colomo-Palacios, I. González-Carrasco, and B. Ruiz-Mezcua Sem-Fit: A semantic based expert system to provide recommendations in the tourism domain Expert Systems with Applications 2011
18. J.N. Goodrich The relationship between preferences for and perceptions of vacation destinations: Application of a choice model Journal of Travel Research 17 2 1978 8 13
19. U. Gretzel, and K.H. Yoo Use and impact of online travel reviews Information and Communication Technologies in Tourism 2008 2008 35 46
20. Z. Huang Extensions to the k-means algorithm for clustering large data sets with categorical values Data Mining and Knowledge Discovery 2 3 1998 283 304 (Pubitemid 128695480)
21. S. Hudson, P. Hudson, and G.A. Miller The measurement of service quality in the tour operating sector: A methodological comparison Journal of Travel Research 42 3 2004 305 312 (Pubitemid 38193300)
22. P.A. Johnson, R.E. Sieber, N. Magnien, and J. Ariwi Automated web harvesting to collect and analyse user-generated content for tourism Current Issues in Tourism 25 2011 1 7
23. T. Kanungo, D.M. Mount, N.S. Netanyahu, C.D. Piatko, R. Silverman, and A.Y. Wu A local search approximation algorithm for k-means clustering Proceedings of the eighteenth annual symposium on computational geometry 2002 ACM 10 18 (Pubitemid 34975518)
24. T. Kanungo, D.M. Mount, N.S. Netanyahu, C.D. Piatko, R. Silverman, and A.Y. Wu An efficient k-means clustering algorithm: Analysis and implementation IEEE Transactions on Pattern Analysis and Machine Intelligence 24 7 2002 881 892 (Pubitemid 34835464)
25. J.A. Konstan, and J. Riedl Recommender systems: From algorithms to user experience User Modeling and User-Adapted Interaction 2012 1 23
26. Korfiatis, N., & Sicilia, M. A. (2007). Social measures and flexible navigation on online contact networks. In Proceedings of the IEEE international conference on fuzzy systems (FUZZ-IEEE) (pp. 1-6). Imperial College, London UK.
27. N. Korfiatis, E. García-Bariocanal, and S. Sánchez-Alonso Evaluating content quality and helpfulness of online product reviews: The interplay of review helpfulness vs. review content Electronic Commerce Research and Applications 11 3 2012 205 217 10.1016/j.elerap.2011.10.003
28. Kumar, N., & Benbasat, I. (2001). Shopping as experience and Web site as a social actor: Web interface design and para-social presence. In Proceedings of the 22nd international conference on information systems (pp. 449-454).
29. G.W. Milligan, and M.C. Cooper A study of the comparability of external criteria for hierarchical cluster analysis Multivariate Behavioral Research 21 4 1986 441 458
30. P. Nelson Information and consumer behavior Journal of Political Economy 78 2 1970 311
31. K. Nusair, and J. Kandampully The antecedents of customer satisfaction with online travel services: A conceptual model European Business Review 20 1 2008 4 19 10.1108/09555340810843663
32. P. O'Connor User-generated content and travel: A case study on Tripadvisor. com Information and Communication Technologies in Tourism 2008 2008 47 58
33. S.C. Plog Why destination areas rise and fall in popularity Cornell Hotel and Restaurant Administration Quarterly 14 4 1974 55 58
34. W.H. Press, B.P. Flannery, S.A. Teukolsky, and W.T.(Vetterling Numerical recipes in C: The art of scientific computing 2nd ed. 1992 Cambridge University Press
35. Y. Reisinger, and F. Mavondo Travel anxiety and intentions to travel internationally: Implications of travel risk perception Journal of Travel Research 43 3 2005 212 225 10.1177/0047287504272017 (Pubitemid 40191210)
36. P. Resnick, and H.R. Varian Recommender systems Communications of the ACM 40 3 1997 56 58 (Pubitemid 127441130)
37. F. Ricci Travel recommender systems IEEE Intelligent Systems 17 6 2002 55 57
38. B. Sarwar, G. Karypis, J. Konstan, and J. Reidl Item-based collaborative filtering recommendation algorithms Proceedings of the 10th international conference on World Wide Web 2001 ACM 285 295
39. B. Shapira, M. Taieb-Maimon, and A. Moskowitz Study of the usefulness of known and new implicit indicators and their optimal combination for accurate inference of users interests Proceedings of the 2006 ACM symposium on applied computing 2004 ACM 1118 1119 (Pubitemid 44758962)
40. Sicilia, M. A., Garcia-Barriocanal, E., & Korfiatis, N. (2008). Using imperfect information in online social systems: applications and measures of betweenness. In Proceedings of the 12th international conference on information processing and management of uncertainty. presented at the IPMU 2008. Malaga, Spain.
41. I.E. Vermeulen, and D. Seegers Tried and tested: The impact of online hotel reviews on consumer consideration Tourism Management 30 1 2009 123 127
42. M. Wolfinbarger, and M.C. Gilly Shopping online for freedom, control, and fun California Management Review 43 2 2001
43. Wu, P. F., Heijden, H. V. D., & Korfiatis, N. (2011). The influences of negativity and review quality on the helpfulness of online reviews. In Proceedings of the international conference on information systems, 2011. Presented at the international conference on information systems. Shanghai, China.
44. Q. Ye, R. Law, and B. Gu The impact of online user reviews on hotel room sales International Journal of Hospitality Management 28 1 2009 180 182
45. Q. Ye, R. Law, B. Gu, and W. Chen The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings Computers in Human Behavior 27 2 2010 634 639