Abstract
Today, online reviews for products and services have become an important class of user-generated content and they play a valuable role for countless online businesses by helping to convert casual browsers into informed and satisfied buyers. In many respects, the content of user reviews is every bit as important as the catalog content that describes a given product or service. As users gravitate towards sites that offer insightful and objective reviews, the ability to source helpful reviews from a community of users is increasingly important. In this work we describe the Reviewer’s Assistant, a case-based reasoning inspired recommender system designed to help people to write more helpful reviews on sites such as Amazon and TripAdvisor. In particular, we describe two approaches to helping users during the review writing process and evaluate each as part of a blind live-user study. Our results point to high levels of user satisfaction and improved review quality compared to a control-set of Amazon reviews.
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References
Agrawal, R., Imieliński, T., Swami, A.: Mining association rules between sets of items in large databases. ACM SIGMOD Record 22, 207–216 (1993)
Aha, D.W., Breslow, L.A., Muñoz-Avila, H.: Conversational case-based reasoning. Applied Intelligence 14(1), 9–32 (2001)
Bridge, D., Healy, P.: The GhostWriter-2.0 case-based reasoning system for making content suggestions to the authors of product reviews. Knowledge-Based Systems 29, 93–103 (2012)
Bridge, D., Waugh, A.: Using experience on the read/write web: The ghostwriter system. In: Bridge, D., Plaza, E., Wiratunga, N. (eds.) Procs. of WebCBR: The Workshop on Reasoning from Experiences on the Web (Workshop Programme of the 8th International Conference on Case-Based Reasoning), pp. 15–24 (2009)
Chevalier, J.A., Dina Mayzlin, D.: The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research 43(3), 345–354 (2006)
Dellarocas, C., Zhang, M., Awad, N.F.: Exploring the value of online product reviews in forecasting sales: The case of motion pictures. Journal of Interactive Marketing 21(4), 23–45 (2007)
Dhar, V., Chang, E.A.: Does chatter matter? the impact of user-generated content on music sales. Journal of Interactive Marketing 23(4), 300–307 (2009)
Dong, R., McCarthy, K., O’Mahony, M.P., Schaal, M., Smyth, B.: Towards an intelligent reviewer’s assistant: Recommending topics to help users to write better product reviews. In: Proceedings of 17th International Conference on Intelligent User Interfaces (IUI 2012), Lisbon, Portugal, February 14-17, pp. 159–168 (2012)
Healy, P., Bridge, D.: The GhostWriter-2.0 System: Creating a Virtuous Circle in Web 2.0 Product Reviewing. In: Bridge, D., Delany, S.J., Plaza, E., Smyth, B., Wiratunga, N. (eds.) Procs. of WebCBR: The Workshop on Reasoning from Experiences on the Web (Workshop Programme of the Eighteenth International Conference on Case-Based Reasoning), pp. 121–130 (2010)
Hu, N., Liu, L., Zhang, J.: Do online reviews affect product sales? the role of reviewer characteristics and temporal effects. Information Technology and Management 9, 201–214 (2008)
Kim, S.-M., Pantel, P., Chklovski, T., Pennacchiotti, M.: Automatically assessing review helpfulness. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2006), Sydney, Australia, July 22-23, pp. 423–430 (2006)
Liu, Y., Huang, X., An, A., Yu, X.: Modeling and predicting the helpfulness of online reviews. In: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, December 15-19, pp. 443–452 (2008)
O’Mahony, M.P., Smyth, B.: Learning to recommend helpful hotel reviews. In: Proceedings of the 3rd ACM Conference on Recommender Systems (RecSys 2009), New York, NY, USA, October 22-25, pp. 305–308 (2009)
Wu, G., Greene, D., Cunningham, P.: Merging multiple criteria to identify suspicious reviews. In: Proc. 4th ACM Conference on Recommender Systems (RecSys 2010), pp. 241–244 (2010)
Wu, G., Greene, D., Smyth, B., Cunningham, P.: Distortion as a validation criterion in the identification of suspicious reviews. In: Proceedings of the First Workshop on Social Media Analytics (SOMA 2010), New York, pp. 10–13 (2010)
Zhu, F., Zhang, X.M.: Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing 74(2), 133–148 (2010)
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Dong, R., Schaal, M., O’Mahony, M.P., McCarthy, K., Smyth, B. (2012). Harnessing the Experience Web to Support User-Generated Product Reviews. In: Agudo, B.D., Watson, I. (eds) Case-Based Reasoning Research and Development. ICCBR 2012. Lecture Notes in Computer Science(), vol 7466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32986-9_7
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DOI: https://doi.org/10.1007/978-3-642-32986-9_7
Publisher Name: Springer, Berlin, Heidelberg
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