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from their part, sedighi et al. [15] proposed a decision tree method to detect fake reviews. they used traditional feature selection techniques to select suitable features and evaluate them. the proposed model can be improved by taking into account the data correlation in choosing the appropriate features. in the study by.khurshid et al. [42], the authors proposed a supervised machine learning model to detect fake reviews based on content features and primal features. the proposed model used five classifiers to classify the reviews: naive bayes, random forest, jrip, adaboost, and j48. the results on a real-life dataset [8], showed that the adaboost with combined features performed better than other classifiers with an accuracy of 73.4%. further, using primal features has a significant impact on improving performance. however, the proposed model did not perform well with an imbalanced dataset. c. amazon mechinical turk method (amt)
from their part, sedighi et al. [15] proposed a decision tree method to detect fake reviews. they used traditional feature selection techniques to select suitable features and evaluate them. the proposed model can be improved by taking into account the data correlation in choosing the appropriate features. in the study by.khurshid et al. [42], the authors proposed a supervised machine learning model to detect fake reviews based on content features and primal features. the proposed model used five classifiers to classify the reviews: naive bayes, random forest, jrip, adaboost, and j48. the results on a real-life dataset [8], showed that the adaboost with combined features performed better than other classifiers with an accuracy of 73.4%. further, using primal features has a significant impact on improving performance. however, the proposed model did not perform well with an imbalanced dataset. c. amazon mechinical turk method (amt)
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from their part, sedighi et al. [15] proposed a decision tree method to detect fake reviews. they used traditional feature selection techniques to select suitable features and evaluate them. the proposed model can be improved by taking into account the data correlation in choosing the appropriate features. in the study by.khurshid et al. [42], the authors proposed a supervised machine learning model to detect fake reviews based on content features and primal features. the proposed model used five classifiers to classify the reviews: naive bayes, random forest, jrip, adaboost, and j48. the results on a real-life dataset [8], showed that the adaboost with combined features performed better than other classifiers with an accuracy of 73.4%. further, using primal features has a significant impact on improving performance. however, the proposed model did not perform well with an imbalanced dataset. c. amazon mechinical turk method (amt)
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beginning march 25, 2021, creators will need at least 100k authentic video views in the last 30 days to be eligible to join the creator fund. the creator fund is in its early stages, and we're continuously exploring new ways to improve the experience for our creator community and the way creators are rewarded. craig baker
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you can also learn more about how much etsy charges to sell on the platform. it's important to communicate with the buyer about their preferred payment method and to provide clear instructions on completing the transaction.
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you can also learn more about how much etsy charges to sell on the platform. it's important to communicate with the buyer about their preferred payment method and to provide clear instructions on completing the transaction.
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truth be told, we've seen start-up casinos with much more to offer than amazon slots casino so it's difficult to recommend them above the competition. if they are serious about a future in this industry they will need to step it up soon. casino amazon slots has utilized their theme of choice rather well. the website is colourful, quirky and includes some great graphics and characters. they layout is also fairly easy to use with the registration and login options right at the top of the page and a simple navigation bar below that which leads to the games and promotions pages. any other links that may be required will be found at the bottom of the screen. the home page also displays a recent winner bar that scrolls through the names of recent winners as well as the amounts they've won.
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you can also learn more about how much etsy charges to sell on the platform. it's important to communicate with the buyer about their preferred payment method and to provide clear instructions on completing the transaction.
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as you'd expect, amazon has an active presence on twitter and facebook - so why not just use the platforms for a callout tweet or private message requesting a refund? however, if you scroll their feed, you'll see they usually direct customers back to their website to resolve their problems.
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as you'd expect, amazon has an active presence on twitter and facebook - so why not just use the platforms for a callout tweet or private message requesting a refund? however, if you scroll their feed, you'll see they usually direct customers back to their website to resolve their problems.
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pura vida bracelets has plenty of products on amazon, most of which have lots of reviews. these customer reviews include text as well as photos and provide social proof that the products are as great as the brand says they are. 1. bundle products together
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as you'd expect, amazon has an active presence on twitter and facebook - so why not just use the platforms for a callout tweet or private message requesting a refund? however, if you scroll their feed, you'll see they usually direct customers back to their website to resolve their problems.
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book. i was recently reminded of the ethical aspects of reviewing a review of a book. the first day when i was really there they may not quite and we did that i said. for
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book. i was recently reminded of the ethical aspects of reviewing a review of a book. the first day when i was really there they may not quite and we did that i said. for
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what makes all of this so disheartening is that we'd done everything amazon would want an independent filmmaker to do. first and foremost, we made a film people liked. we had a 4.1 rating from 132 amazon reviews, and during our last week on the platform, we were streaming over a million minutes, had passed the six million mark, and was trending up. the amazon prime video direct purge: a filmmaker's view
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book. i was recently reminded of the ethical aspects of reviewing a review of a book. the first day when i was really there they may not quite and we did that i said. for
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5. track your earnings: keep track of your earnings using the amazon flex app. this will allow you to analyze your performance and identify areas of improvement. amazon flex pays its delivery partners based on a formula that considers the number of packages delivered, the distance traveled, and the amount of time it takes to deliver the packages. the procedure is designed to reward delivery partners for completing deliveries quickly and efficiently.
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