117 search results - page 4 / 24 » Online learning from click data for sponsored search |
CIKM
2010
Springer
13 years 4 months ago
2010
Springer
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
WINE
2009
Springer
14 years 26 days ago
2009
Springer
It is widely believed that the value of acquiring a slot in a sponsored search list (that comes along with the organic links in a search engine’s result page) highly depends on ...
WEBDB
2010
Springer
13 years 11 months ago
2010
Springer
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diï...
EMNLP
2009
13 years 4 months ago
2009
There have been increasing needs for task specific rankings in web search such as rankings for specific query segments like long queries, time-sensitive queries, navigational quer...
CIKM
2009
Springer
14 years 26 days ago
2009
Springer
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...