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Retrieving Top-k Prestige-Based Relevant Spatial Web Objects

Summary: Proposes prestige-based relevance: textual query match plus influence from nearby relevant objects for location-aware top-k retrieval of spatial web objects. Introduces LkPT and two algorithms; empirical studies show improved retrieval over independence-based baselines and scalable performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10092
Venue
VLDB
Year
2010
Pagerank
6.1116751e-05
Overall Rank
4,525 | 68.53%
DOI
-

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