Context Attentive Document Ranking and Query Suggestion

5 Jun 2019Wasi Uddin AhmadKai-Wei ChangHongning Wang

We present a context-aware neural ranking model to exploit users' on-task search activities and enhance retrieval performance. In particular, a two-level hierarchical recurrent neural network is introduced to learn search context representation of individual queries, search tasks, and corresponding dependency structure by jointly optimizing two companion retrieval tasks: document ranking and query suggestion... (read more)

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