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Collective Spatial Keyword Queries: A Distance Owner-Driven Approach

Summary: Distance-owner driven framework for CoSKQ (MaxSum-CoSKQ, Dia-CoSKQ) reveals cost dominated by at most three distance owners. Provides faster exact algorithms and improved approximations (MaxSum 1.375, Dia-CoSKQ 3-factor), with experiments showing scalable, near-optimal results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4746
Venue
SIGMOD
Year
2013
Pagerank
7.3961486e-05
Overall Rank
3,458 | 76.28%
DOI
10.1145/2463676.2465275

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{long_sigmod13,
        title = {{Collective Spatial Keyword Queries: A Distance Owner-Driven Approach}},
        author = {Long, Cheng and Wong, Raymond Chi-Wing and Wang, Ke and Fu, Ada Wai-Chee},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465275},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465275},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,441 Efficient Processing of Top-k Spatial Preference Queries 2011 VLDB 0.00010778831
1,819 Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects 2009 VLDB 9.6810907e-05
4,179 Retrieving Top-k Prestige-Based Relevant Spatial Web Objects 2010 VLDB 6.8487923e-05
4,486 Collective Spatial Keyword Querying 2011 SIGMOD 6.6693992e-05
4,711 Reverse Spatial and Textual k Nearest Neighbor Search 2011 SIGMOD 6.5506926e-05
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