Understanding and Predicting Graded Search Satisfaction

  title={Understanding and Predicting Graded Search Satisfaction},
  author={Jiepu Jiang and Ahmed Hassan Awadallah and Xiaolin Shi and Ryen W. White},
Understanding and estimating satisfaction with search engines is an important aspect of evaluating retrieval performance. Research to date has modeled and predicted search satisfaction on a binary scale, i.e., the searchers are either satisfied or dissatisfied with their search outcome. However, users' search experience is a complex construct and there are different degrees of satisfaction. As such, binary classification of satisfaction may be limiting. To the best of our knowledge, we are the… CONTINUE READING

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