Search Intenion Network for Personalized Query Auto-Completion in E-Commerce
<|reference_start|>Search Intenion Network for Personalized Query Auto-Completion in E-Commerce: Query Auto-Completion(QAC), as an important part of the modern search engine, plays a key role in complementing user queries and helping them refine their search intentions.Today's QAC systems in real-world scenarios face two major challenges:1)intention equivocality(IE): during the user's typing process,the prefix often contains a combination of characters and subwords, which makes the current intention ambiguous and difficult to model.2)intention transfer (IT):previous works make personalized recommendations based on users' historical sequences, but ignore the search intention transfer.However, the current intention extracted from prefix may be contrary to the historical preferences.<|reference_end|>
@article{bao2024search,
    title={Search Intenion Network for Personalized Query Auto-Completion in
  E-Commerce},
    author={Wei Bao, Mi Zhang, Tao Zhang, Chengfu Huo},
    journal={arXiv preprint arXiv:2403.02609},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.02609},
    primaryClass={cs.IR cs.LG}
}