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Full size image A design science research approach was chosen [7, 12] to create a hotel fake review detection system with the aim to answer the proposed research question. Regarding the recommendations, the problem of fake review detection and need of a software solution were identified in Sect. 1 and 2 of the paper. Previous published research work (e.g., [2, 6, 8, 9, 11]) as well as setup several design workshops with several participants were reviewed to collect the relevant objectives of the solution. The primary objective of the system is to determine the probability of fake reviews for a given hotel using several analytical approaches. The system should gather data of the individual reviews collected from online review sites as well as information about the reviewers and the hotel itself. It should have the capability to integrate more analytical approaches stepwise over the time to improve accuracy and integrate current research results. Furthermore, components should be selectable and de-selectable case by case. Based on these objectives, a hotel fake review detection system based on different components has been created. At first, online hotel reviews and related meta data (such as hotel name, reviewers, etc. [2]) have to be collected through a web crawling tool [21] from online review sides like TripAdvisor. These data should be stored in a central database. Thus, central and fast accessible place for data access for the analytical components is shared. In the following, the analytical components (here: (1) text mining-based classification and (2) spell checker) can fall back on the needed data to calculate the probability of fake reviews for a given hotel in a related time frame. The text mining-based classification (1) will use already classified hotel fake review data to calculate the probability of a fake by evaluating textual similarities. The spell checker (2) will calculate a probability based on the amount spelling and grammar issues. Furthermore, the reviewer behavior checker uses data (e.g. timings, hotels, etc. [2]) about the last written reviews of the reviewer to infer on fakes. The hotel environment checker uses data about the hotel to identify fake or incorrect information (e.g., location, stars, facilities). After all components (1 and 2) are analyzed, a scoring system [17] uses the individual probabilities to determine the final probability of fake reviews for a given hotel. The scoring system can run a weighted or unweighted average of the different probabilities. The weights can be adjusted based on trained models and validation after system use. The system architecture is summarized in the following Fig. 1 and allows analytical extensions in the future. Dotted components (reviewer behavior checker, hotel environment checker) are not implemented currently, but will follow up as a part of future research. For a first demonstration a prototype was implemented as explained in the following section.

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Maybe it's the stories you've heard, or maybe it's your own goal. Either way, if you ask yourself- 'Can Amazon FBA make me rich?'- the answer is yes. Selling with Amazon can make you rich. However, to achieve that, you will need to follow few general rules. If you stick to them, you might find yourself rich with Amazon! Once you have chosen your product, it's time to make it outstanding. Selling the exact copy of other items on the market isn't the wisest. Invest in good branding- if your product looks good, it will be desired by your customers. Your logo is something that customers will recognize you with. Our brain loves catchy and memorable brand logos, so using the best branding company gives you a competitive advantage over your competitors with cheap, poor-quality logos.

Maybe it's the stories you've heard, or maybe it's your own goal. Either way, if you ask yourself- 'Can Amazon FBA make me rich?'- the answer is yes. Selling with Amazon can make you rich. However, to achieve that, you will need to follow few general rules. If you stick to them, you might find yourself rich with Amazon! Once you have chosen your product, it's time to make it outstanding. Selling the exact copy of other items on the market isn't the wisest. Invest in good branding- if your product looks good, it will be desired by your customers. Your logo is something that customers will recognize you with. Our brain loves catchy and memorable brand logos, so using the best branding company gives you a competitive advantage over your competitors with cheap, poor-quality logos.

Caveat: as you may have noticed if you're a frequent writer of this site, I'm not a huge fan of Jack Kerouac, and even less of a fan of On the Road. (My advice? Try Satori in Paris.) So unlike most other installments of this series, I kind of feel like these are my people. But for the record, Carlo, I have no problem with drugs and alcohol. Only with continuing to elevate misogynist texts because they remind some people of their childhoods! Enjoy (or rage) as you see fit.

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You can also sell your books on Kindle Direct Publishing, where you can device and it is a portable device that can be connected to an internet connection.

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Brushing Scam Graphic Online shopping, especially during back-to-school season, is extremely popular. As consumers repeatedly click 'buy now,' we can lose track of the items arriving on our doorstep. If you open a box and don't recognize the items and don't remember the purchase; your first thoughts may be that you inadvertently purchased unwanted items in a large order, maybe something was shipped to you by accident, or you received goods as part of a promotion-who is going to say no to free stuff? If this happens to you, though, don't ignore it. Unsolicited boxes of merchandise at your door aren't necessarily a sign of good luck, you may be a victim of a brushing scam.

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