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Branch-and-bound processing of ranked queries

Authors:

Vagelis Hristidis,

Dimitris Papadias,

Yannis PapakonstantinouAuthors Info & Claims

Information Systems, Volume 32, Issue 3

Pages 424 - 445

https://doi.org/10.1016/j.is.2005.12.001

Published: 01 May 2007 Publication History

Abstract

Despite the importance of ranked queries in numerous applications involving multi-criteria decision making, they are not efficiently supported by traditional database systems. In this paper, we propose a simple yet powerful technique for processing such queries based on multi-dimensional access methods and branch-and-bound search. The advantages of the proposed methodology are: (i) it is space efficient, requiring only a single index on the given relation (storing each tuple at most once), (ii) it achieves significant (i.e., orders of magnitude) performance gains with respect to the current state-of-the-art, (iii) it can efficiently handle data updates, and (iv) it is applicable to other important variations of ranked search (including the support for non-monotone preference functions), at no extra space overhead. We confirm the superiority of the proposed methods with a detailed experimental study.

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Cited By

Mouratidis KLi KTang B(2024)Marrying Top-k with Skyline Queries: Operators with Relaxed Preference Input and Controllable Output SizeACM Transactions on Database Systems10.1145/3705726Online publication date: 22-Nov-2024
https://doi.org/10.1145/3705726
Mouratidis KLi KTang B(2024)Quantifying the competitiveness of a dataset in relation to general preferencesThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-023-00804-133:1(231-250)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s00778-023-00804-1
Zhang JTang BYiu MYan XLi KIves ZBonifati AEl Abbadi A(2022)T-LevelIndex: Towards Efficient Query Processing in Continuous Preference SpaceProceedings of the 2022 International Conference on Management of Data10.1145/3514221.3526182(2149-2162)Online publication date: 10-Jun-2022
https://dl.acm.org/doi/10.1145/3514221.3526182
Show More Cited By

Index Terms

Branch-and-bound processing of ranked queries
1. Information systems
  1. Data management systems
    1. Database management system engines
      1. Database query processing
  2. Information retrieval
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory
      1. Database query processing and optimization (theory)

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Information & Contributors

Information

Published In

cover image Information Systems

Information Systems Volume 32, Issue 3

May, 2007

140 pages

ISSN:0306-4379

Issue’s Table of Contents

Copyright © Elsevier B.V. © 2006.

Publisher

Elsevier Science Ltd.

United Kingdom

Publication History

Published: 01 May 2007

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Cited By

Mouratidis KLi KTang B(2024)Marrying Top-k with Skyline Queries: Operators with Relaxed Preference Input and Controllable Output SizeACM Transactions on Database Systems10.1145/3705726Online publication date: 22-Nov-2024
https://doi.org/10.1145/3705726
Mouratidis KLi KTang B(2024)Quantifying the competitiveness of a dataset in relation to general preferencesThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-023-00804-133:1(231-250)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s00778-023-00804-1
Zhang JTang BYiu MYan XLi KIves ZBonifati AEl Abbadi A(2022)T-LevelIndex: Towards Efficient Query Processing in Continuous Preference SpaceProceedings of the 2022 International Conference on Management of Data10.1145/3514221.3526182(2149-2162)Online publication date: 10-Jun-2022
https://dl.acm.org/doi/10.1145/3514221.3526182
Mouratidis KLi KTang BLi GLi ZIdreos SSrivastava D(2021)Marrying Top-k with Skyline Queries: Relaxing the Preference Input while Producing Output of Controllable SizeProceedings of the 2021 International Conference on Management of Data10.1145/3448016.3457299(1317-1330)Online publication date: 9-Jun-2021
https://dl.acm.org/doi/10.1145/3448016.3457299
Tang BMouratidis KHan MLi GLi ZIdreos SSrivastava D(2021)On m-Impact Regions and Standing Top-k Influence ProblemsProceedings of the 2021 International Conference on Management of Data10.1145/3448016.3452832(1784-1796)Online publication date: 9-Jun-2021
https://dl.acm.org/doi/10.1145/3448016.3452832
Mishra SKhetarpaul S(2021)Optimal Placement of Taxis in a City Using Dominating Set ProblemDatabases Theory and Applications10.1007/978-3-030-69377-0_10(111-124)Online publication date: 29-Jan-2021
https://dl.acm.org/doi/10.1007/978-3-030-69377-0_10
Nikitopoulos PSfyris GVlachou ADoulkeridis CTelelis O(2020)Pruning techniques for parallel processing of reverse top-k queriesDistributed and Parallel Databases10.1007/s10619-020-07297-939:1(169-199)Online publication date: 25-May-2020
https://dl.acm.org/doi/10.1007/s10619-020-07297-9
Tang BMouratidis KYiu MChen Z(2019)Creating top ranking options in the continuous option and preference spaceProceedings of the VLDB Endowment10.14778/3339490.333950012:10(1181-1194)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.14778/3339490.3339500
Dong YChen HYu JFuruse KKitagawa H(2018)Weighted Aggregate Reverse Rank QueriesACM Transactions on Spatial Algorithms and Systems10.1145/32252164:2(1-23)Online publication date: 10-Aug-2018
https://dl.acm.org/doi/10.1145/3225216
Gkorgkas OVlachou ADoulkeridis CNørvåg K(2017)Exploratory product search using top-k join queriesInformation Systems10.1016/j.is.2016.09.00464:C(75-92)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1016/j.is.2016.09.004
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