A two-dimensional click model for query auto-completion

Yanen Li, Anlei Dong, Hongning Wang, Hongbo Deng, Yi Chang, Cheng Xiang Zhai

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

Abstract

Query auto-completion (QAC) facilitates faster user query input by predicting users' intended queries. Most QAC algorithms take a learning-based approach to incorporate various signals for query relevance prediction. However, such models are trained on simulated user inputs from query log data. The lack of real user interaction data in the QAC process prevents them from further improving the QAC performance. In this work, for the first time we have collected a high-resolution QAC query log that records every keystroke in a QAC session. Based on this data, we discover two types of user behavior, namely the horizontal skipping bias and vertical position bias which are crucial for relevance prediction in QAC. In order to better explain them, we propose a novel two-dimensional click model for modeling the QAC process with emphasis on these types of behavior. Extensive experiments on our QAC data set from both PC and mobile devices demonstrate that our proposed model can accurately explain the users' behavior in interacting with a QAC system, and the resulting relevance model significantly improves the QAC performance over existing click models. Furthermore, the learned knowledge about the skipping behavior can be effectively incorporated into existing learning-based QAC models to further improve their performance. Copyrightc 2014 ACM.

Original languageEnglish (US)
Title of host publicationSIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
PublisherAssociation for Computing Machinery
Pages455-464
Number of pages10
ISBN (Print)9781450322591
DOIs
StatePublished - 2014
Event37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 - Gold Coast, QLD, Australia
Duration: Jul 6 2014Jul 11 2014

Publication series

NameSIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

Other

Other37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014
Country/TerritoryAustralia
CityGold Coast, QLD
Period7/6/147/11/14

Keywords

  • Query auto-completion
  • Two-dimensional click model

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Information Systems

Fingerprint

Dive into the research topics of 'A two-dimensional click model for query auto-completion'. Together they form a unique fingerprint.

Cite this