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Evaluation Strategies for Top-k Queries over Memory-Resident Inverted Indexes

Summary: Evaluation of DAAT vs TAAT top-k query strategies over memory-resident inverted indexes in Yahoo's online-ad platform. Adapts disk-oriented algorithms to memory and shows up to 60% latency and cost reductions on real ad workloads, confirming algorithmic gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h73feed91b59cb2fe
Venue
VLDB
Year
2011
Pagerank
5.7116518e-05
Overall Rank
6,676 | 55.12%
DOI
10.14778/3402755.3402756

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fontoura_vldb11,
        title = {{Evaluation Strategies for Top-k Queries over Memory-Resident Inverted Indexes}},
        author = {Fontoura, Marcus and Josifovski, Vanja and Liu, Jinhui and Venkatesan, Srihari and Zhu, Xiangfei and Zien, Jason},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {12},
        doi = {10.14778/3402755.3402756},
        url = {https://doi.org/10.14778/3402755.3402756},
        year = {2011}
}

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Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010679641
2,793 Indexing Boolean Expressions 2009 VLDB 8.0052633e-05
3,004 Optimized Query Execution in Large Search Engines with Global Page Ordering 2003 VLDB 7.7632345e-05
5,324 Efficiently Evaluating Complex Boolean Expressions 2010 SIGMOD 6.179987e-05
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