Beer Hipsters: Exploring User Mindsets in Online Beer Reviews
نویسندگان
چکیده
Online product rating systems are frequently used to generate recommendation systems to boost sales. However, these systems do not take into account how user reviews are influenced by previous reviews of the same product. We wish to model how users interact with previously posted reviews. Namely, we want to see if there are distinct categories of users who tend to agree with previously posted reviews of an item, tend to disagree with previously posted reviews of an item, tend to only review items that have not been frequently reviewed, or exhibit one of these behaviors for a period of time, and as they spend more time in the community, switch to another behavior type. A thorough study of how users on a review site react to previous content will be useful as a psychological study with potential marketing applications. For example, if a user is known to agree with previously posted reviews, it is likely that they will positively react to any recommended product with many good reviews.
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