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Multiple Feature Fusion for Social Media Applications

Summary: Feature Interaction Graph (FIG): features as nodes, correlations as edges to fuse multi-modal signals; similarity via a Markov Random Field. Scalable retrieval for large social media data and temporal recommendations; tested on Flickr, outperforming prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4326
Venue
SIGMOD
Year
2010
Pagerank
5.093636e-05
Overall Rank
12,419 | 14.80%
DOI
10.1145/1807167.1807216

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Authors

BibTeX Citation

@inproceedings{cui_sigmod10,
        title = {{Multiple Feature Fusion for Social Media Applications}},
        author = {Cui, Bin and Tung, Anthony K. H. and Zhang, Ce and Zhao, Zhe},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807216},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807216},
        year = {2010}
}

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