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» Learning block importance models for web pages
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STOC
2009
ACM
102views Algorithms» more  STOC 2009»
14 years 8 months ago
Multiple intents re-ranking
One of the most fundamental problems in web search is how to re-rank result web pages based on user logs. Most traditional models for re-ranking assume each query has a single int...
Yossi Azar, Iftah Gamzu, Xiaoxin Yin
KCAP
2005
ACM
14 years 1 months ago
AutoFeed: an unsupervised learning system for generating webfeeds
The AutoFeed system automatically extracts data from semistructured web sites. Previously, researchers have developed two types of supervised learning approaches for extracting we...
Bora Gazen, Steven Minton
EMNLP
2009
13 years 5 months ago
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
A significant portion of the world's text is tagged by readers on social bookmarking websites. Credit attribution is an inherent problem in these corpora because most pages h...
Daniel Ramage, David Hall, Ramesh Nallapati, Chris...
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
14 years 2 months ago
Robust web extraction: an approach based on a probabilistic tree-edit model
On script-generated web sites, many documents share common HTML tree structure, allowing wrappers to effectively extract information of interest. Of course, the scripts and thus ...
Nilesh N. Dalvi, Philip Bohannon, Fei Sha
WWW
2009
ACM
14 years 8 months ago
Web 2.0: blind to an accessible new world
With the advent of Web 2.0 technologies, websites have evolved from static pages to dynamic, interactive Web-based applications with the ability to replicate common desktop functi...
Joshua M. Hailpern, Loretta Guarino Reid, Richard ...