Towards mobile query auto-completion: An efficient mobile application-Aware approach

Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We study the new mobile query auto-completion (QAC) problem to exploit mobile devices' exclusive signals, such as those related to mobile applications (apps). We propose AppAware, a novel QAC model using installed app and recently opened app signals to suggest queries for matching input prefixes on mobile devices. To overcome the challenge of noisy and voluminous signals, AppAware optimizes composite objectives with a lighter processing cost at a linear rate of convergence. We conduct experiments on a large commercial data set of mobile queries and apps. Installed app and recently opened app signals consistently and significantly boost the accuracy of various baseline QAC models on mobile devices.

Original languageEnglish (US)
Title of host publication25th International World Wide Web Conference, WWW 2016
PublisherInternational World Wide Web Conferences Steering Committee
Pages579-590
Number of pages12
ISBN (Electronic)9781450341431
DOIs
StatePublished - Jan 1 2016
Event25th International World Wide Web Conference, WWW 2016 - Montreal, Canada
Duration: Apr 11 2016Apr 15 2016

Publication series

Name25th International World Wide Web Conference, WWW 2016

Other

Other25th International World Wide Web Conference, WWW 2016
CountryCanada
CityMontreal
Period4/11/164/15/16

Keywords

  • Mobile Application
  • Mobile Device
  • Query Auto-Completion

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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  • Cite this

    Zhang, A., Goyal, A., Baeza-Yates, R., Chang, Y., Han, J., Gunter, C. A., & Deng, H. (2016). Towards mobile query auto-completion: An efficient mobile application-Aware approach. In 25th International World Wide Web Conference, WWW 2016 (pp. 579-590). (25th International World Wide Web Conference, WWW 2016). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/2872427.2882977