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PHOcus: Efficiently Archiving Photos

Summary: PHOcus optimizes photo archiving under an online storage budget—selects photos by usage, size/quality, relevance, and similarity. Formalizes problem, provides efficient algorithm with optimal guarantee, validates on e-commerce and mobile photo settings. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
13037
Venue
VLDB
Year
2022
Pagerank
5.6081446e-05
Overall Rank
7,478 | 48.70%
DOI
10.14778/3554821.3554861

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{davidson_vldb22,
        title = {{PHOcus: Efficiently Archiving Photos}},
        author = {Davidson, Susan B. and Gershtein, Shay and Milo, Tova and Novgorodov, Slava and Shoshan, May},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {12},
        pages = {3630--3633},
        doi = {10.14778/3554821.3554861},
        url = {https://doi.org/10.14778/3554821.3554861},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,404 Stochastic Submodular Data Forgetting 2026 SIGMOD 5.093636e-05
11,063 New Trends in Data Forgetting for Sustainable Data Management 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

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

Rank Cited Paper Year Venue Pagerank
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