DBScholar

Back to papers

Retrieving Top-k Prestige-Based Relevant Spatial Web Objects

Summary: Introduces LkPT queries, ranking spatial keyword results by textual relevance, proximity, and the relevance of nearby objects (prestige). Proposes scalable algorithms that outperform independence-based baselines in effectiveness and efficiency. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10283
Venue
VLDB
Year
2010
Pagerank
6.8487923e-05
Overall Rank
4,179 | 71.33%
DOI
10.14778/1920841.1920891

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cao_vldb10,
        title = {{Retrieving Top-k Prestige-Based Relevant Spatial Web Objects}},
        author = {Cao, Xin and Cong, Gao and Jensen, Christian S.},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {1},
        pages = {373--384},
        doi = {10.14778/1920841.1920891},
        url = {https://doi.org/10.14778/1920841.1920891},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers