DBScholar

Back to papers

Efficient Algorithms for Answering the m-Closest Keywords Query

Summary: mCK queries are NP-hard; a 2-approx greedy algorithm is developed. Circle-enclosure yields 2/√3 and (2/√3+ε) approximations, and an exact method uses the approximate group to beat prior work, with extensive real-dataset experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5005
Venue
SIGMOD
Year
2015
Pagerank
6.5487034e-05
Overall Rank
4,715 | 67.66%
DOI
10.1145/2723372.2723723

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{guo_sigmod15,
        title = {{Efficient Algorithms for Answering the m-Closest Keywords Query}},
        author = {Guo, Tao and Cao, Xin and Cong, Gao},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2723723},
        url = {https://dl.acm.org/doi/10.1145/2723372.2723723},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,819 Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects 2009 VLDB 9.6810907e-05
2,989 Spatial Keyword Query Processing: An Experimental Evaluation 2013 VLDB 7.8896275e-05
3,041 Spatio-Textual Similarity Joins 2013 VLDB 7.8254399e-05
3,458 Collective Spatial Keyword Queries: A Distance Owner-Driven Approach 2013 SIGMOD 7.3961486e-05
4,486 Collective Spatial Keyword Querying 2011 SIGMOD 6.6693992e-05
4,984 SEAL: Spatio-Textual Similarity Search 2012 VLDB 6.412239e-05
7,188 Retrieving Regions of Interest for User Exploration 2014 VLDB 5.6776255e-05
Previous Page 1 / 1 Next

Semantically Similar Papers