Reformulate Or Quit: Predicting User Abandonment In Ideal Sessions

INFORMATION RETRIEVAL TECHNOLOGY, AIRS 2016(2016)

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摘要
We present a comparison of different types of features for predicting session abandonment. We show that under ideal conditions for identifying topical sessions, the best features are those related to user actions and document relevance, while features related to query/document similarity actually hurt prediction abandonment.
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关键词
Document relevance,Document similarity,Prediction abandonment,Session abandonment
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