Difference between revisions of "Project Information"
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| + | <b>Company Information</b> | ||
| + | <p>Yelp is a ratings and recommendation website for businesses to connect with their users. Their main source of revenue comes from paid advertisements from businesses. To expand their business, they wanted to monetize the analytics that comes with the vast amounts data on Yelp. With that, they opened a new department for recommending solutions to businesses using analytics. Our group aims to make use of the given dataset to derive possible actionable solutions for businesses.</p> | ||
| + | |||
| + | <b>Problem Statement</b> | ||
| + | <p>At Yelp, we want our users to be matched with the best business, providing satisfied customers. Today, we are only able to promote the best matched business of choice to the users. However, this might not match the user’s expectations but only be the best of all existing choices. Therefore, we will use analysis in the area of text and sentiment to identify areas of improvement for businesses to be a better match to customer expectations. As customer expectations would be better met, we are hopeful that they would influence their friends to be a supporter of Yelp as well.</p> | ||
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| + | <b>The Team</b> | ||
| + | <p>The Team comprises of:<br> | ||
| + | 1. Ng Hui Ying<br> | ||
| + | 2. Aldred Lau Wen Yang<br> | ||
| + | 3. Michelle Teo Sok Lee<br> | ||
| + | 4. Yi Hao Tan <br> | ||
| + | </p> | ||
Latest revision as of 16:38, 4 September 2015
Company Information
Yelp is a ratings and recommendation website for businesses to connect with their users. Their main source of revenue comes from paid advertisements from businesses. To expand their business, they wanted to monetize the analytics that comes with the vast amounts data on Yelp. With that, they opened a new department for recommending solutions to businesses using analytics. Our group aims to make use of the given dataset to derive possible actionable solutions for businesses.
Problem Statement
At Yelp, we want our users to be matched with the best business, providing satisfied customers. Today, we are only able to promote the best matched business of choice to the users. However, this might not match the user’s expectations but only be the best of all existing choices. Therefore, we will use analysis in the area of text and sentiment to identify areas of improvement for businesses to be a better match to customer expectations. As customer expectations would be better met, we are hopeful that they would influence their friends to be a supporter of Yelp as well.
The Team
The Team comprises of:
1. Ng Hui Ying
2. Aldred Lau Wen Yang
3. Michelle Teo Sok Lee
4. Yi Hao Tan
