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Creating Customized Metasearch Engines on Demand Using SE-LEGO

Authors: Chun Du; Hai He; Zonghuan Wu; Clement Yu; Weiyi Meng; Vijay V. Raghavan;

Creating Customized Metasearch Engines on Demand Using SE-LEGO

Abstract

Frequently, the documents needed by a user are available only via multiple search engines. For example, research papers about a particular subject may be found from the search engines of related digital libraries and journals. It is inconvenient for the user to search these search engines separately. An effective way to address this problem is to employ a metasearch engine, which is a system that provides unified access to multiple existing search systems. When a metasearch engine receives a user query, it passes the query to its underlying search engines. The results returned by the search engines, are then combined by the metasearch engine to form a single ranked list for presentation to the user [2].

  • BIP!
    Impact byBIP!
    citations
    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).
    2
    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).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average