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...Amazon says it will use information it has discovered to identify bad actors and remove fake reviews commissioned by these pages. One of the groups identified in the lawsuit had more than 43,000 members before Meta took action against them earlier this year.
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...The original dataset is skewed. It has 608k+ restaurant reviews gathered from Yelp.com for NY, NJ, VT, CT, and PA. There exist 13.22% of fake reviews and 86.78% of truthful reviews. In this project, I first extracted user-behavior features [3] from reviews and reviewers' information, such as the average review length for each user and the maximum number of reviews in a day for each user. I then applied both supervised and unsupervised learning methods on user behavior data and reviewed data to see which method and dataset performed better. Since Yelp's early days, reviews are one of the most important factors customers have relied on to determine the quality and authenticity of a business. A local consumer review survey published last year shows that 90% of consumers used the internet to find a local business in the previous year, and 89% of 35รขยย54-year-olds trust online reviews as much as personal recommendations. Although Yelp's listings often have hundreds or thousands of reviews, many of those reviews can't be trusted.
...The original dataset is skewed. It has 608k+ restaurant reviews gathered from Yelp.com for NY, NJ, VT, CT, and PA. There exist 13.22% of fake reviews and 86.78% of truthful reviews. In this project, I first extracted user-behavior features [3] from reviews and reviewers' information, such as the average review length for each user and the maximum number of reviews in a day for each user. I then applied both supervised and unsupervised learning methods on user behavior data and reviewed data to see which method and dataset performed better. Since Yelp's early days, reviews are one of the most important factors customers have relied on to determine the quality and authenticity of a business. A local consumer review survey published last year shows that 90% of consumers used the internet to find a local business in the previous year, and 89% of 35รขยย54-year-olds trust online reviews as much as personal recommendations. Although Yelp's listings often have hundreds or thousands of reviews, many of those reviews can't be trusted.
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The original dataset is skewed. It has 608k+ restaurant reviews gathered from Yelp.com for NY, NJ, VT, CT, and PA. There exist 13.22% of fake reviews and 86.78% of truthful reviews. In this project, I first extracted user-behavior features [3] from reviews and reviewers' information, such as the average review length for each user and the maximum number of reviews in a day for each user. I then applied both supervised and unsupervised learning methods on user behavior data and reviewed data to see which method and dataset performed better. Since Yelp's early days, reviews are one of the most important factors customers have relied on to determine the quality and authenticity of a business. A local consumer review survey published last year shows that 90% of consumers used the internet to find a local business in the previous year, and 89% of 35รขยย54-year-olds trust online reviews as much as personal recommendations. Although Yelp's listings often have hundreds or thousands of reviews, many of those reviews can't be trusted.
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