DBScholar

Back to papers

I2RS: A Distributed Geo-Textual Image Retrieval and Recommendation System

Summary: I2RS is a distributed geo-textual image retrieval and recommendation system that uses SPB-trees to index geo-tagged images. It supports metric similarity queries (top-m spatio-temporal range, kNN), offers interactive recommendations, and scales to 100M images in a browser-server deployment. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11261
Venue
VLDB
Year
2015
Pagerank
-
Overall Rank
13,587 | 6.79%
DOI
10.14778/2824032.2824092

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{chen_vldb15,
        title = {{I2RS: A Distributed Geo-Textual Image Retrieval and Recommendation System}},
        author = {Chen, Lu and Gao, Yunjun and Xing, Zhihao and Jensen, Christian S. and Chen, Gang},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        pages = {1884},
        doi = {10.14778/2824032.2824092},
        url = {https://doi.org/10.14778/2824032.2824092},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

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
Previous Page 1 / 1 Next

Semantically Similar Papers