Visual webpage block importance prediction using conditional random fields.
We have developed a system that segments web pages into blocks and predicts those blocks' importance (block importance prediction or BIP). First, we use VIPS to partition a page into a tree composed of blocks and then extracts features from each block and labels all leaf nodes. This paper makes two...
| Published in: | Journal of the American Society for Information Science & Technology Vol. 62; no. 11; pp. 2225 - 2236 |
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| Main Authors: | , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
Nov2011
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| Online Access: | View this record in EBSCOhost |