Estimating True Ratings from Online Consumer Reviews

Schindler D, Lüpke L, Decker R (2013)
In: German-Japanese Interchange of Data Analysis Results. Gaul W, Geyer-Schulz A, Baba Y, Okada A (Eds); Studies in Classification, Data Analysis, and Knowledge Organization. Berlin: Springer: 235-252.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Herausgeber*in
Gaul, W.; Geyer-Schulz, A.; Baba, Y.; Okada, A.
Abstract / Bemerkung
Online consumer reviews have emerged in the last decade as a promising starting point for monitoring and analyzing individual opinions about products and services. Especially the corresponding “star” ratings are frequently used by marketing researchers to address various aspects of electronic word-of-mouth (eWOM). But there also exist several studies which raise doubts about the general reliability of posted ratings. Against this background, we introduce a new framework based on the Beta Binomial True Intentions Model suggested by Morrison (J Mark Res 43(2):65–74, 1979) to accommodate the possible uncertainty inherent in the ratings contained in online consumer reviews. We show that, under certain conditions, the suggested framework is suitable to estimate “true” ratings from posted ones which proves advantageous in the case of rating-based predictions, e.g. with respect to the willingness to recommend a product or service. The theoretical considerations are illustrated by means of synthetic and real data.
Stichworte
recommendation probability; prediction of true ratings; star ratings; online consumer reviews; eWOM
Erscheinungsjahr
2013
Titel des Konferenzbandes
German-Japanese Interchange of Data Analysis Results
Serien- oder Zeitschriftentitel
Studies in Classification, Data Analysis, and Knowledge Organization
Seite(n)
235-252
ISBN
978-3-319-01263-6
Page URI
https://pub.uni-bielefeld.de/record/2637558

Zitieren

Schindler D, Lüpke L, Decker R. Estimating True Ratings from Online Consumer Reviews. In: Gaul W, Geyer-Schulz A, Baba Y, Okada A, eds. German-Japanese Interchange of Data Analysis Results. Studies in Classification, Data Analysis, and Knowledge Organization. Berlin: Springer; 2013: 235-252.
Schindler, D., Lüpke, L., & Decker, R. (2013). Estimating True Ratings from Online Consumer Reviews. In W. Gaul, A. Geyer-Schulz, Y. Baba, & A. Okada (Eds.), Studies in Classification, Data Analysis, and Knowledge Organization. German-Japanese Interchange of Data Analysis Results (pp. 235-252). Berlin: Springer.
Schindler, Diana, Lüpke, Lars, and Decker, Reinhold. 2013. “Estimating True Ratings from Online Consumer Reviews”. In German-Japanese Interchange of Data Analysis Results, ed. W. Gaul, A. Geyer-Schulz, Y. Baba, and A. Okada, 235-252. Studies in Classification, Data Analysis, and Knowledge Organization. Berlin: Springer.
Schindler, D., Lüpke, L., and Decker, R. (2013). “Estimating True Ratings from Online Consumer Reviews” in German-Japanese Interchange of Data Analysis Results, Gaul, W., Geyer-Schulz, A., Baba, Y., and Okada, A. eds. Studies in Classification, Data Analysis, and Knowledge Organization (Berlin: Springer), 235-252.
Schindler, D., Lüpke, L., & Decker, R., 2013. Estimating True Ratings from Online Consumer Reviews. In W. Gaul, et al., eds. German-Japanese Interchange of Data Analysis Results. Studies in Classification, Data Analysis, and Knowledge Organization. Berlin: Springer, pp. 235-252.
D. Schindler, L. Lüpke, and R. Decker, “Estimating True Ratings from Online Consumer Reviews”, German-Japanese Interchange of Data Analysis Results, W. Gaul, et al., eds., Studies in Classification, Data Analysis, and Knowledge Organization, Berlin: Springer, 2013, pp.235-252.
Schindler, D., Lüpke, L., Decker, R.: Estimating True Ratings from Online Consumer Reviews. In: Gaul, W., Geyer-Schulz, A., Baba, Y., and Okada, A. (eds.) German-Japanese Interchange of Data Analysis Results. Studies in Classification, Data Analysis, and Knowledge Organization. p. 235-252. Springer, Berlin (2013).
Schindler, Diana, Lüpke, Lars, and Decker, Reinhold. “Estimating True Ratings from Online Consumer Reviews”. German-Japanese Interchange of Data Analysis Results. Ed. W. Gaul, A. Geyer-Schulz, Y. Baba, and A. Okada. Berlin: Springer, 2013. Studies in Classification, Data Analysis, and Knowledge Organization. 235-252.
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