March 6, 2024, 5:42 a.m. | Wei Bao, Mi Zhang, Tao Zhang, Chengfu Huo

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.02609v1 Announce Type: cross
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 …

abstract arxiv auto challenges combination commerce cs.ir cs.lg e-commerce face key major modern network part personalized process queries query refine role search search engine systems them type typing world

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Engineer - AWS

@ 3Pillar Global | Costa Rica

Cost Controller/ Data Analyst - India

@ John Cockerill | Mumbai, India, India, India