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Context-aware query recommendation by learning high-order relation in query logs

Authors:

Xiaohui Yan,

Jiafeng Guo,

Xueqi ChengAuthors Info & Claims

CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management

Pages 2073 - 2076

https://doi.org/10.1145/2063576.2063893

Published: 24 October 2011 Publication History

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Abstract

Query recommendation has been widely used in modern search engines. Recently, several context-aware methods have been proposed to improve the accuracy of recommendation by mining query sequence patterns from query sessions. However, the existing methods usually do not address the ambiguity of queries explicitly and often suffer from the sparsity of the training data. In this paper, we propose a novel context-aware query recommendation approach by modeling the high-order relation between queries and clicks in query log, which captures users' latent search intents. Empirical experiment results demonstrate that our approach outperforms the baseline methods in providing high quality recommendations for ambiguous queries.

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Cited By

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Wang YWang ZZhang HYin QTang XWang YZhang DCui LCheng MYin BWang SYu PSingh ASun YAkoglu LGunopulos DYan XKumar ROzcan FYe J(2023)Exploiting Intent Evolution in E-commercial Query RecommendationProceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3580305.3599821(5162-5173)Online publication date: 6-Aug-2023
https://dl.acm.org/doi/10.1145/3580305.3599821
Qi KWang RLu QWang XJing NNiu DChen HDemartini GZuccon GCulpepper JHuang ZTong H(2021)Dual Learning for Query Generation and Query Selection in Query Feeds RecommendationProceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3481910(4065-4074)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3459637.3481910
Dong WMao P(2021)Cluster Analysis of Influencing Factors of Regional Economic Growth Based on Random Walk Model2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA)10.1109/ICECA52323.2021.9675884(1243-1246)Online publication date: 2-Dec-2021
https://doi.org/10.1109/ICECA52323.2021.9675884
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Index Terms

Context-aware query recommendation by learning high-order relation in query logs
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Published In

CIKM '11: Proceedings of the 20th ACM international conference on Information and knowledge management

October 2011

2712 pages

ISBN:9781450307178

DOI:10.1145/2063576

Editors:
Bettina Berendt,
Arjen de Vries,
Wenfei Fan,
Craig Macdonald
University of Glasgow, UK
,
Iadh Ounis
University of Glasgow, UK
,
Ian Ruthven
University of Strathclyde, UK

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 24 October 2011

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October 24 - 28, 2011

Glasgow, Scotland, UK

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Wang YWang ZZhang HYin QTang XWang YZhang DCui LCheng MYin BWang SYu PSingh ASun YAkoglu LGunopulos DYan XKumar ROzcan FYe J(2023)Exploiting Intent Evolution in E-commercial Query RecommendationProceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3580305.3599821(5162-5173)Online publication date: 6-Aug-2023
https://dl.acm.org/doi/10.1145/3580305.3599821
Qi KWang RLu QWang XJing NNiu DChen HDemartini GZuccon GCulpepper JHuang ZTong H(2021)Dual Learning for Query Generation and Query Selection in Query Feeds RecommendationProceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3481910(4065-4074)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3459637.3481910
Dong WMao P(2021)Cluster Analysis of Influencing Factors of Regional Economic Growth Based on Random Walk Model2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA)10.1109/ICECA52323.2021.9675884(1243-1246)Online publication date: 2-Dec-2021
https://doi.org/10.1109/ICECA52323.2021.9675884
Francia MGolfarelli MRizzi S(2020)A-BI+: A framework for Augmented Business IntelligenceInformation Systems10.1016/j.is.2020.101520(101520)Online publication date: Mar-2020
https://doi.org/10.1016/j.is.2020.101520
Quadrana MCremonesi PJannach D(2018)Sequence-Aware Recommender SystemsACM Computing Surveys10.1145/319061651:4(1-36)Online publication date: 6-Jul-2018
https://dl.acm.org/doi/10.1145/3190616
Huang ZQian YMamoulis N(2018)Location-aware query reformulation for search enginesGeoinformatica10.1007/s10707-018-0334-522:4(869-893)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s10707-018-0334-5
Haruna KAkmar Ismail MSuhendroyono SDamiasih DPierewan AChiroma HHerawan T(2017)Context-Aware Recommender System: A Review of Recent Developmental Process and Future Research DirectionApplied Sciences10.3390/app71212117:12(1211)Online publication date: 5-Dec-2017
https://doi.org/10.3390/app7121211
Huang ZMamoulis N(2017)Location-Aware Query Recommendation for Search Engines at ScaleAdvances in Spatial and Temporal Databases10.1007/978-3-319-64367-0_11(203-220)Online publication date: 22-Jul-2017
https://doi.org/10.1007/978-3-319-64367-0_11
Mitra BBaeza-Yates RLalmas MMoffat ARibeiro-Neto B(2015)Exploring Session Context using Distributed Representations of Queries and ReformulationsProceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/2766462.2767702(3-12)Online publication date: 9-Aug-2015
https://dl.acm.org/doi/10.1145/2766462.2767702
Shi YLarson MHanjalic A(2014)Collaborative Filtering beyond the User-Item MatrixACM Computing Surveys10.1145/255627047:1(1-45)Online publication date: 1-May-2014
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Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion

Click Feedback-Aware Query Recommendation Using Adversarial Examples

Intent-aware query similarity

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