User Intent Inference for Web Search and Conversational Agents

@article{Ahmadvand2020UserII,
  title={User Intent Inference for Web Search and Conversational Agents},
  author={Ali Ahmadvand},
  journal={Proceedings of the 13th International Conference on Web Search and Data Mining},
  year={2020}
}
  • Ali Ahmadvand
  • Published 20 January 2020
  • Computer Science
  • Proceedings of the 13th International Conference on Web Search and Data Mining
User intent understanding is a crucial step in designing both conversational agents and search engines. Detecting or inferring user intent is challenging, since the user utterances or queries can be short, ambiguous, and contextually dependent. To address these research challenges, my thesis work focuses on: 1) Utterance topic and intent classification for conversational agents 2) Query intent mining and classification for Web search engines, focusing on the e-commerce domain. To address the… 

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