Acquiring Reliable Ratings from the Crowd
DOI:
https://doi.org/10.1609/hcomp.v3i1.13261Keywords:
crowdsourcing, ratings, worker skills, underexposed itemsAbstract
We address the problem of acquiring reliable ratings of items such as restaurants or movies from the crowd. We propose a crowdsourcing platform that takes into consideration the workers’ skills with respect to the items being rated and assigns workers the best items to rate. Our platform focuses on acquiring ratings from skilled workers and for items that only have a few ratings. We evaluate the effectiveness of our system using a real-world dataset about restaurants.
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Published
2015-09-23
How to Cite
Valeri, B., Elbassuoni, S., & Amer-Yahia, S. (2015). Acquiring Reliable Ratings from the Crowd. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 3(1), 40-41. https://doi.org/10.1609/hcomp.v3i1.13261
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Section
Works in Progress