Search Intenion Network for Personalized Query Auto-Completion in E-Commerce

• URL: http://arxiv.org/abs/2403.02609v1
• Date: Tue, 5 Mar 2024 02:53:24 GMT
• Title: Search Intenion Network for Personalized Query Auto-Completion in E-Commerce
• Authors: Wei Bao, Mi Zhang, Tao Zhang, Chengfu Huo
• Abstract summary: QAC systems 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. Previous works make personalized recommendations based on users' historical sequences, but ignore the search intention transfer.
• Score: 23.839760520476744
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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