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2014 | OriginalPaper | Buchkapitel

Estimating Online Review Helpfulness with Probabilistic Distribution and Confidence

verfasst von : Zunqiang Zhang, Qiang Wei, Guoqing Chen

Erschienen in: Foundations and Applications of Intelligent Systems

Verlag: Springer Berlin Heidelberg

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Abstract

Product review helpfulness information is useful knowledge for consumers in their online shopping decision processes. Unlike the traditional method using the simple voting percentages, this paper proposes a new method for estimating the degrees of helpfulness with two features. One is to take into account the helpfulness distribution information on all reviews of concern in determination of helpfulness degrees; the other is to construct confidence intervals (CIs) of helpfulness to distinguish different reviews with the same voting percentage. Both synthetic and real data experiments, along with an illustrative example, reveal that the proposed method is superior to the traditional one in light of estimation accuracy.

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Pan Y, Zhang JQ (2011) Born unequal: a study of the helpfulness of user-generated product reviews. J Retail 87(4):598–612MathSciNetCrossRef

Mudambi SM, Schuff D (2010) What makes a helpful online review? A study of customer reviews on amazon.com. MIS Q 34(1):185–200

Cao Q, Duan W, Gan Q (2011) Exploring determinants of voting for the “helpfulness” of online user reviews: a text mining approach. Decis Support Syst 50(2):511–521CrossRef

Liu J, Cao Y, Lin C-Y, Huang Y, Zhou M (2007) Low-quality product review detection in opinion summarization. In: 2007 joint conference on empirical methods in natural language processing and computational natural language learning, 334–342

Siersdorfer S, Chelaru S, Nejdl W, Pedro JS (2010) How useful are your comments? Analyzing and predicting YouTube comments and comment ratings. In: 19th international conference on world wide web, ACM Press, North Carolina, 891–900

Liu Y, Huang X, An A, Yu X (2008) Modeling and predicting the helpfulness of online reviews. In: Eighth IEEE international conference on data mining, IEEE Press, 443–452

Kim S-M, Pantel P, Chklovski T, Pennacchiotti M (2006) Automatically assessing review helpfulness. In: 2006 conference on empirical methods in natural language processing, Association for computational linguistics, Sydney, 423–430

Ghose A, Ipeirotis PG (2011) Estimating the helpfulness and economic impact of product reviews: mining text and reviewer characteristics. IEEE Trans Knowl Data Eng 23(10):1498–1512CrossRef

Yu X, Liu Y, Huang X, An A (2010) Mining online reviews for predicting sales performance: a case study in the movie domain. IEEE Trans Knowl Data Eng 24:720–734CrossRef

10.

Yu X, Liu Y, Huang X, An A (2010) A quality-aware model for sales prediction using reviews. In: 19th international conference on world wide web, ACM Press, North Carolina, 1217–1218

11.

Zhang Z, Varadarajan B (2006) Utility scoring of product reviews. In: 15th ACM international conference on information and knowledge management, ACM Press, Virginia, 51–57

12.

Tsur O, Rappoport A (2009) REVRANK: a fully unsupervised algorithm for selecting the most helpful book reviews. In: Third international ICWSM conference, 154–161

13.

Wu PF, Heijden HVD, Korfiatis N (2011) The influences of negativity and review quality on the helpfulness of online reviews. In: International conference on information systems

14.

Lu Y, Tsaparas P, Ntoulas A, Polanyi L (2010) Exploiting social context for review quality prediction. In: 19th international conference on world wide web, ACM Press, North Carolina, 691–700

15.

Moghaddam S, Jamali M, Ester M (2011) Review recommendation: personalized prediction of the quality of online reviews. In: 20th ACM international conference on information and knowledge management, ACM Press, Scotland, 2249–2252

16.

Danescu-Niculescu-Mizil C, Kossinets G, Kleinberg J, Lee L (2009) How opinions are received by online communities: a case study on amazon.com helpfulness votes. In: 18th international conference on world wide web, ACM Press, Madrid, 141–150

17.

Timothy DR (2003) Accurate confidence intervals for binomial proportion and Poisson rate estimation. Comput Biol Med 33(6):509–531CrossRef

18.

Full Store Directory (2012) http://www.amazon.com/gp/site-directory/ref=sa_menu_fullstore

19.

Hennig-Thurau T, Gwinner KP, Walsh G, Gremler DD (2004) Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet? J Interact Marketing 18(1):38–52CrossRef

20.

Wu F, Huberman BA (2010) Opinion formation under costly expression. ACM Trans Intell Syst Technol 1(1):1–13CrossRef

21.

Otterbacher J (2011) Being heard in review communities: communication tactics and review prominence. J Comput Mediated Commun 16(3):424–444CrossRef

Titel: Estimating Online Review Helpfulness with Probabilistic Distribution and Confidence
verfasst von: Zunqiang Zhang
Qiang Wei
Guoqing Chen
Verlag: Springer Berlin Heidelberg
Buch: Foundations and Applications of Intelligent Systems
Print ISBN: 978-3-642-37828-7

Electronic ISBN: 978-3-642-37829-4

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-642-37829-4_35

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