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)
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Authors
- 1. Bin Cui
- 2. Anthony K. H. Tung
- 3. Ce Zhang
- 4. Zhe Zhao
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0015496097 |
| 2,979 | FlexRecs: Expressing and Combining Flexible Recommendations | 2009 | SIGMOD | 7.7844948e-05 |
| 3,425 | Efficient EMD-based Similarity Search in Multimedia Databases via Flexible Dimensionality Reduction | 2008 | SIGMOD | 7.1077107e-05 |
| 5,311 | From del.icio.us to x.qui.site: Recommendations in Social Tagging Sites | 2008 | SIGMOD | 5.5741093e-05 |
| 7,965 | PARAgrab: A Comprehensive Architecture for Web Image Management and Multimodal Querying | 2006 | VLDB | 4.613363e-05 |
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