
AbstractResearch into metasearch engines has traditionally been focused on source engine selection and the re‐ranking and integration of multiple search engines' results. In this paper we describe existing and new techniques that metasearch engines can apply to broaden the services provided to the searcher, by capturing and analyzing information already flowing through the meteasearch engine—the queries, their results, and the clicks made by users. In addition, we demonstrate the potential for the engine to generate related queries, related pages, and to recommend queries for web site builders to target through optimization or advertising.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
