Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integr...
This study focused on the relevance judgments made by health information users using the Web. Health information users were conceptualized as motivated information users concerned...
Most people have long term information interests. Current Web search engines satisfy immediate information needs. Specific sites support tracking of long term interests. We prese...
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...
—Information can change rapidly on the web. For example, news may hint some new story starts to develop. Many more news related to the original event begin to pour in the web. Im...