This paper studies the influence of what are recognized as key issues in evolutionary multi-objective optimization: archiving (to keep track of the current non-dominated solutions...
Searching for an item in a long ordered list is a frequent task when using any kind of computing device (from desktop PCs to mobile phones). This paper explores three different int...
Despite its potential to improve search effectiveness, previous research has shown that the uptake of interactive query expansion (IQE) is limited. In this paper, we investigate on...
Nuzhah Gooda Sahib, Anastasios Tombros, Ian Ruthve...
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng
Search queries on biomedical databases like PubMed often return a large number of results, only a small subset of which is relevant to the user. Ranking and categorization, which c...