Abstract
Reviewers’ ratings have become one of the most influential parameters when making a decision to purchase or rent the products or services from the online vendors. Star Rating system is the de-facto standard for rating a product. It is regarded as one of the most visually appealing rating systems that directly interact with the consumers; helping them find products they will like to purchase as well as register their views on the product. It offers visual advantage to pick the popular or most rated product. Any system that is not as appealing as star system will have a chance of rejection by online business community. This paper argues that, the visual advantage is not enough to declare star rating system as a triumphant, the success of a ranking system should be measured by how effectively the system helps customers make decisions that they, retrospectively, consider correct. This paper argues and suggests a novel approach of Relative Ranking within the boundaries of star rating system to overcome a few inherent disadvantages the former system comes with.
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References
Hanna Yehuda and Jennifer McGinn. “Coming to Terms: Comparing and Combining the Results of Multiple Evaluators Performing Heuristic Evaluation”; CHI 2007, April 28-May 3, 2007, San Jose, California, USA
Muzaffer Ozakca and Youn-Kyung Lim. “A Study of Reviews and Ratings on the Internet”; CHI 2006, April 22-27, 2006, Montreal, Quebec, Canada
Juha Leino and Kari-Jouko Raiha. “Case Amazon: Ratings and Reviews as Part of Recommendations”; RecSys ‘07, October 19-20, 2007, Minneapolis, Minnesota, USA
Ba-Quy Vuong, Ee-Peng Lim, Aixin Sun, Minh-Tam Le, Hady Wirawan Lauw and Kuiyu Chang. “On Ranking Controversies in Wikipedia: Models and Evaluation”; WSDM ‘08, February 11-12, 2008, Palo Alto, California, USA
Tzu-Kuo Huang, Chih-Jen Lin and Ruby C. Weng. “Ranking Individuals by Group Comparisons”; 23rd International Conference on Machine Learning, 2006, Pittsburgh, PA, USA.
http://www.burj-al-arab.com/, accessed on Friday, May 14th 2008
www.sfgate.com/eguide/movies/reviews/, accessed on Friday, May 14th 2008
Turnbull, Don, “Rating, Voting and Ranking: Designing for Collaboration and Consensus”, CHI 2007, San Jose, California, USA
Linden Greg, Smith Brent, and York Jeremy, “Amazon.com Recommendations – item-to-item Collaborative Filtering”, IEEE Intelligent Computing, Jan-Feb 2003
William H. Kruskal and W. Allen Wallis. Use of ranks in onecriterion variance analysis. Journal of the American Statistical Association 47 (260): 583–621, December 1952
http://en.wikipedia.org/wiki/Wilcoxon_signed-rank_test, accessed on August 1st 2008
J. Ben Schafer, Joseph A. Konstan and John Riedl, “E-commerce Recommender Applications”, Data Mining and Knowledge Discovery, Vol. 5, pp. 115–153, 2001
Chang, Elizabeth and Hussain, Farookh Khadeer and Dillon, Tharam S. 2005. : Trustworthiness Measure for e-Service, Third Annual Conference on Privacy, Security and Trust, 12-14 Oct 2005. St. Andrews, New Brunswick, Canada: University of New Brunswick, Canada.
Dhar, Vasant,Does Chatter Matter? The Impact of User-Generated Content on Music Sales(February 2008). CeDER Working Paper No. 07-06. Available at SSRN: http://ssrn.com/abstract=1113536
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Usman, Zuh., Alghamdi, F.A., Tariq, A., Puri, T.N. (2010). Relative Ranking – A Biased Rating. In: Sobh, T. (eds) Innovations and Advances in Computer Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3658-2_5
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DOI: https://doi.org/10.1007/978-90-481-3658-2_5
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