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Science and Technology Studies Commons™
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Articles 1 - 2 of 2
Full-Text Articles in Science and Technology Studies
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
SMU Data Science Review
In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …
Common Carriage’S Domain, Christopher S. Yoo
Common Carriage’S Domain, Christopher S. Yoo
All Faculty Scholarship
The judicial decision invalidating the Federal Communications Commission's first Open Internet Order has led advocates to embrace common carriage as the legal basis for network neutrality. In so doing, network neutrality proponents have overlooked the academic literature on common carriage as well as lessons from its implementation history. This Essay distills these learnings into five factors that play a key role in promoting common carriage's success: (1) commodity products, (2) simple interfaces, (3) stability and uniformity in the transmission technology, (4) full deployment of the transmission network, and (5) stable demand and market shares. Applying this framework to the Internet …