In this paper, we report results of an investigation into the factors influencing the selection of sponsored links by e-commerce Web searchers. In this research, 56 participants e...
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...
No search engine is perfect. A typical type of imperfection is the preference misalignment between search engines and end users, e.g., from time to time, web users skip higherrank...
Users frequently modify a previous search query in hope of retrieving better results. These modifications are called query reformulations or query refinements. Existing research h...
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...