Relationship between Reviews at App Store and the Categories for Software
Megumi Wano, Jun Iio
Abstract
Megumi Wano, Jun Iio
Abstract
The purpose of this study is making clear factors of what affects the contents of software reviews posted by customers at electronic commerce (e-Commerce) websites. Frequent referring to such reviews helps people to buy something. However, it is considered difficult to judge the quality of contents with reviews completely, because conditions for each software, such as, published data, categories, prices, are not equal. The result of this study has revealed that review styles are different with software categories, so that this paper concludes that consumers should pay attention to the bias of the reviews. Hereafter, it will be useful to investigate how to read reviews for not only consumers but also sellers, who want to know a value of software as well.
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The purpose of this study is making clear factors of what affects the contents of software reviews posted by customers at electronic commerce (e-Commerce) websites. Frequent referring to such reviews helps people to buy something. However, it is considered difficult to judge the quality of contents with reviews completely, because conditions for each software, such as, published data, categories, prices, are not equal. The result of this study has revealed that review styles are different with software categories, so that this paper concludes that consumers should pay attention to the bias of the reviews. Hereafter, it will be useful to investigate how to read reviews for not only consumers but also sellers, who want to know a value of software as well.
Key concepts: Software, Value (mathematics), Computer science, Quality (philosophy), Software review, World Wide Web, App store, Data science