Personalizing Search Results Using Hierarchical RNN with Query-aware Attention

@article{Ge2018PersonalizingSR,
  title={Personalizing Search Results Using Hierarchical RNN with Query-aware Attention},
  author={Songwei Ge and Zhicheng Dou and Zhengbao Jiang and Jian-Yun Nie and Ji-Rong Wen},
  journal={Proceedings of the 27th ACM International Conference on Information and Knowledge Management},
  year={2018}
}
  • Songwei Ge, Zhicheng Dou, Ji-Rong Wen
  • Published 17 October 2018
  • Computer Science
  • Proceedings of the 27th ACM International Conference on Information and Knowledge Management
Search results personalization has become an effective way to improve the quality of search engines. [] Key Method To implement these intuitions, in this paper we employ a hierarchical recurrent neural network to exploit such sequential information and automatically generate user profile from historical data. We propose a query-aware attention model to generate a dynamic user profile based on the input query. Significant improvement is observed in the experiment with data from a commercial search engine when…

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