Instant foodie: predicting expert ratings from grassroots

  title={Instant foodie: predicting expert ratings from grassroots},
  author={Chenhao Tan and Ed Huai-hsin Chi and David A. Huffaker and Gueorgi Kossinets and Alexander J. Smola},
Consumer review sites and recommender systems typically rely on a large volume of user-contributed ratings, which makes rating acquisition an essential component in the design of such systems. User ratings are then summarized to provide an aggregate score representing a popular evaluation of an item. An inherent problem in such summarization is potential bias due to raters self-selection and heterogeneity in terms of experience, tastes and rating scale interpretation. There are two major… CONTINUE READING