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Recreating Popular User-Generated Tags Effectively and Efficiently by Utilizing Crowdsourcing

The purpose of the study is to determine whether popular internet bookmarking tags can be recreated through crowdsourcing. Amazon Mechanical Turk, the work marketplace, was used as a means to conduct an experiment regarding the reproduction of popular tags for a variety of websites using Delicious, a service for storing and sharing
bookmarked pages on the internet.

This study provides a promising new direction for cheap, fast and effective creation of user-generated tags that would be useful in indexing more of the extended web and consequently help improve web search. Furthermore, it informs future experimental and micro-task design for creating high quality tags reliably using crowdsourcing platforms.

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