| Abstract |
|
Commercial serach engines, especially meta-
search engines, were designed to locate the
information by querying multiple conventional
search engines and integrating the partial results
generated by each search engine. A few meta-
search engines that perform best for a particular
query. The problem of finding the search engine
that performs best for a query is known as the
search engine selection problem.
This paper proposes a new solution to the
search engine selection problem. The proposed
solutions borrows Summary Schemas Model from
the multidatabase arena. It also utilizes user
feedback and past performance to improve upon the
future performance.
A simulator was developed to show the
validity of the model and to test its performance
against solutions embedded in the design of some
meta-search engines. Simulations results are
presented and analyzed.
|
 Additional Information
|
Citation:
LaQuiesia S. Smith, Ali R. Hurson,
"A Search Engine Selection Methodology,"
itcc,
p. 122,
International Conference on Information Technology: Computers and Communications,
2003
|
