Statistical Methods in e-Commerce Research (Statistics in Practice) Review

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Statistical Methods in e-Commerce Research (Statistics in Practice) ReviewThe editor has gathered an interesting set of research papers on the application of statistics to e-commerce data. The papers go well beyond elementary studies of typical web server logs, which is perhaps what you might be acquainted with.
One chapter discusses how the role of reviewers of products has expanded due to the Internet. The case of Amazon was offered as one prominent example. Now, a web page with a product review also offers more information about the social identity of the reviewer. So it can convey a community affiliation, and thus enhance the profile of the reviewer. Also, feedback about a reviewer's reviews is available. Prior to this, in traditional hardcopy printed media, unless you were already familiar with the reviewer, you'd have little background about that person, and about the reception of readers to her reviews.
Future work is suggested. An important aspect is how sentiment analysis of online reviews can be a predictor of future demand. If true, this would be valuable to distributors and publishers.
Another chapter goes into an indepth analysis of Wikipedia. It looks at the revision management. Too much revision implies an unstable product, while too little loses the benefit of collaboration on the writing of an article about a subject. An interesting program is mentioned, that estimates at the phrase level the trustworthiness of text. It tracks the number of times a contributor's work is removed or altered. Colour coding is used to present the results; flagging text by people with high rates, suggesting that their contributions are perhaps unreliable.
Overall, you may be able to glean many useful ideas for your website analysis from this book.
Statistical Methods in e-Commerce Research (Statistics in Practice) Overview

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