| Publisher | Association for Computing Machinery | ||
|---|---|---|---|
| Format | 978.5KB PDF | Date added | 27 Oct 2006 |
| Topics | Search Strategies | ||
| Downloads | 157 | ||
This paper proposes building a vertical image search engine called EnjoyPhoto that leverages rich metadata from various photo forum web sites to meet users' requirements for enjoying high-quality photos, which is virtually impossible in traditional image search engines. To solve the ranking problem when aggregating multiple photo forums, the paper proposes a novel rank fusion algorithm that uses duplicate photos to normalize rating scores. To further improve user experiences in enjoying photos, it designs an in-place image browsing interface, and compares it with several other interfaces in a user study. With rich metadata and rating information, more attractive user interfaces are enabled, including slideshow authoring and photo recommendations.
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