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Top-k Bounded Diversification

Summary: SPP (space-partitioning and probing) enables top-k diversification in low-dimensional spaces; exact MMR with far fewer accesses. Uses score- and distance-based access only, avoids full scans, and yields strong access reductions with low overhead on geo/Web data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4542
Venue
SIGMOD
Year
2012
Pagerank
8.6899714e-05
Overall Rank
2,480 | 82.75%
DOI
-

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Showing 13 of 13 citing papers.

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Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
648 Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects 2009 VLDB 0.00018666267
1,208 Efficient Diversity-Aware Search 2011 SIGMOD 0.00013275712
1,220 Efficient Query Processing in Geographic Web Search Engines 2006 SIGMOD 0.00013223504
1,667 Structured Search Result Differentiation 2009 VLDB 0.00010960247
2,961 Evaluating Rank Joins with Optimal Cost 2008 PODS 7.8110394e-05
3,014 Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures 2011 SIGMOD 7.70946e-05
3,941 Efficient Diversification of Web Search Results 2011 VLDB 6.6124442e-05
4,069 Proximity Rank Join 2010 VLDB 6.4789031e-05
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