Mining Bilateral Reviews for Online Transaction Prediction: A Relational Topic Modeling Approach

References

• Abrahams AS , Jiao J , Wang GA , Fan W (2012) Vehicle defect discovery from social media. Decision Support Systems 54(1):87–97.Crossref, Google Scholar
• Ansari A , Li Y , Zhang JZ (2018) Probabilistic topic model for hybrid recommender systems: A stochastic variational Bayesian approach. Marketing Sci. 37(6):987–1008.Link, Google Scholar
• Bao Y , Datta A (2014) Simultaneously discovering and quantifying risk types from textual risk disclosures. Management Sci. 60(6):1371–1391.Link, Google Scholar
• Blei DM , Jordan MI (2006) Variational inference for Dirichlet process mixtures. Bayesian Anal. 1(1):121–143.Crossref, Google Scholar
• Blei DM , Ng AY , Jordan MI (2003) Latent Dirichlet allocation. J. Machine Learning Res. 3(Jan):993–1022.Google Scholar
• Bridges J , Vásquez C (2018) If nearly all Airbnb reviews are positive, does that make them meaningless? Current Issues Tourism 21(18):2057–2075.Crossref, Google Scholar
• Büschken J , Allenby GM (2016) Sentence-based text analysis for customer reviews. Marketing Sci. 35(6):953–975.Link, Google Scholar
• Chang J , Blei DM (2010) Hierarchical relational models for document networks. Ann. Appl. Statist. 4(1):124–150.Crossref, Google Scholar
• Chang J , Gerrish S , Wang C , Boyd-Graber JL , Blei DM (2009) Reading tea leaves: How humans interpret topic models. Adv. Neural Inform. Processing Systems 22:288–296.Google Scholar
• Chattopadhyay M , Mitra SK (2019) Do Airbnb host listing attributes influence room pricing homogenously? Internat. J. Hospitality Management 81:54–64.Crossref, Google Scholar
• Chen N , Zhu J , Xia F , Zhang B (2015) Discriminative relational topic models. IEEE Trans. Pattern Anal. Machine Intelligence 37(5):973–986.Crossref, Google Scholar
• Cui R , Li J , Zhang DJ (2020) Reducing discrimination with reviews in the sharing economy: Evidence from field experiments on Airbnb. Management Sci. 66(3):1071–1094.Link, Google Scholar
• Fradkin A (2017) Search, matching, and the role of digital marketplace design in enabling trade: Evidence from Airbnb. MIT Sloan Working Paper, Boston, MA.Google Scholar
• Fradkin A , Grewal E , Holtz D , Pearson M (2015) Bias and reciprocity in online reviews: Evidence from field experiments on Airbnb. Proc. 16th ACM Conf. Econom. Comput., 641–682.Google Scholar
• Fu Y , Liu G , Teng M , Aggarwal C (2017) Unsupervised P2P rental recommendations via integer programming. Proc. 23rd ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining, 165–173.Google Scholar
• Gao W , Li P , Darwish K (2012) Joint topic modeling for event summarization across news and social media streams. Proc. 21st ACM Internat. Conf. Inform. Knowledge Management (CIKM), 1173–1182.Google Scholar
• Ghoshal A , Menon S , Sarkar S (2015) Recommendations using information from multiple association rules: A probabilistic approach. Inform. Systems Res. 26(3):532–551.Link, Google Scholar
• Gong J , Abhishek V , Li B (2018) Examining the impact of keyword ambiguity on search advertising performance: A topic model approach. Management Inform. Systems Quart. 42(3):805–829.Crossref, Google Scholar
• He H , Garcia EA (2008) Learning from imbalanced data. IEEE Trans. Knowledge Data Engrg. 9:1263–1284.Google Scholar
• He X , Zhang H , Kan MY , Chua TS (2016) Fast matrix factorization for online recommendation with implicit feedback. Proc. 39th Internat. ACM SIGIR Conf. Res. Development Inform. Retrieval, 549–558.Google Scholar
• Hofmann T (1999) Probabilistic latent semantic indexing. Proc. 22nd Annu. Internat. ACM SIGIR Conf. Res. and Development in Inform. Retrieval, 50–57.Google Scholar
• Hong L , Dom B , Gurumurthy S , Tsioutsiouliklis K (2011) A time-dependent topic model for multiple text streams. Proc. 17th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining, 832–840.Google Scholar
• Hu Y , Koren Y , Volinsky C (2008) Collaborative filtering for implicit feedback datasets. Proc. 8th IEEE Internat. Conf. Data Mining (ICDM), 263–272.Google Scholar
• Huang AH , Lehavy R , Zang AY , Zheng R (2017) Analyst information discovery and interpretation roles: A topic modeling approach. Management Sci. 64(6):2833–2855.Link, Google Scholar
• Krizhevsky A , Sutskever I , Hinton GE (2012) Imagenet classification with deep convolutional neural networks. Adv. Neural Inform. Processing Systems 25:1097–1105.Google Scholar
• Kutty S , Nayak R , Chen L (2014) A people-to-people matching system using graph mining techniques. World Wide Web 17(3):311–349.Crossref, Google Scholar
• Lawani A , Reed MR , Mark T , Zheng Y (2019) Reviews and price on online platforms: Evidence from sentiment analysis of Airbnb reviews in Boston. Regional Sci. Urban Econom. 75:22–34.Crossref, Google Scholar
• Li L , Li T (2012) MEET: A generalized framework for reciprocal recommender systems. Proc. 21st ACM Internat. Conf. Inform. Knowledge Management (CIKM), 35–44.Google Scholar
• Li Z , Fang X , Bai X , Sheng ORL (2016) Utility-based link recommendation for online social networks. Management Sci. 63(6):1938–1952.Link, Google Scholar
• Luo Y , Tang RL (2019) Understanding hidden dimensions in textual reviews on Airbnb: An application of modified latent aspect rating analysis (LARA). Internat. J. Hospitality Management 80:144–154.Crossref, Google Scholar
• McAuley J , Leskovec J (2013) Hidden factors and hidden topics: Understanding rating dimensions with review text. Proc. 7th ACM Conf. Recommender Systems (RecSys), 165–172.Google Scholar
• Niu Z , Hua G , Gao X , Tian Q (2014) Semi-supervised relational topic model for weakly annotated image recognition in social media. Proc. 2014 IEEE Conf. Comput. Vision Pattern Recognition (CVPR), 4233–4240.Google Scholar
• Pan R , Scholz M (2009) Mind the gaps: Weighting the unknown in large-scale one-class collaborative filtering. Proc. 15th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining, 667–676.Google Scholar
• Pan R , Zhou Y , Cao B , Liu NN , Lukose R , Scholz M , Yang Q (2008) One-class collaborative filtering. Proc. 8th IEEE Internat. Conf. Data Mining, 502–511.Google Scholar
• Pant G , Sheng OR (2015) Web footprints of firms: Using online isomorphism for competitor identification. Inform. Systems Res. 26(1):188–209.Link, Google Scholar
• Paul M , Girju R (2009) Cross-cultural analysis of blogs and forums with mixed-collection topic models. Proc. 2009 Conf. Empirical Methods Natural Language Processing, 1408–1417.Google Scholar
• Puranam D , Narayan V , Kadiyali V (2017) The effect of calorie posting regulation on consumer opinion: A flexible latent Dirichlet allocation model with informative priors. Marketing Sci. 36(5):726–746.Link, Google Scholar
• Quattrone G , Nicolazzo S , Nocera A , Quercia D , Capra L (2018) Is the sharing economy about sharing at all? A linguistic analysis of Airbnb reviews. Proc. 20th Internat. AAAI Conf. Web Social Media.Google Scholar
• Quattrone G , Proserpio D , Quercia D , Capra L , Musolesi M (2016) Who benefits from the “Sharing” economy of Airbnb? Proc. 25th Internat. Conf. World Wide Web, 1385–1394.Google Scholar
• Quora (2012) What percent of Airbnb hosts leave reviews for their guests? Accessed December 19, 2020. https://www.quora.com/What-percent-of-Airbnb-hosts-leave-reviews-for-their-guests#.Google Scholar
• Rendle S , Freudenthaler C , Gantner Z , Schmidt-Thieme L (2009) BPR: Bayesian personalized ranking from implicit feedback. Proc. 25th Conf. Uncertainty Artificial Intelligence, (AUAI Press, Corvallis, OR), 452–461.Google Scholar
• Sanchez-Vazquez R , Silva J , Santos RL (2017) Exploiting socio-economic models for lodging recommendation in the sharing economy. Proc. 11th ACM Conf. Recommender Systems (RecSys), (ACM, New York, NY), 260–268.Google Scholar
• Sarwar B , Karypis G , Konstan J , Riedl J (2001) Item-based collaborative filtering recommendation algorithms. Proc. 10th Internat. Conf. World Wide Web (WWW), (ACM, New York, NY), 285–295.Google Scholar
• Wang D , Nicolau JL (2017) Price determinants of sharing economy based accommodation rental: A study of listings from 33 cities on Airbnb.com. Internat. J. Hospitality Management 62:120–131.Crossref, Google Scholar
• Zhai C , Velivelli A , Yu B (2004) A cross-collection mixture model for comparative text mining. Proc. 10th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining, (ACM, New York, NY), 743–748.Google Scholar