In this contribution, different proposals found in the specialized literature for the application
of evolutionary computation to the field of information retrieval will be reviewed. To do so …

New general purpose ranking functions are discovered using genetic programming. The
TREC WSJ collection was chosen as a training set. A baseline comparison function was …

Genetic‐based evolutionary learning algorithms, such as genetic algorithms (GAs) and
genetic programming (GP), have been applied to information retrieval (IR) since the 1980s …

We deal in this paper with the problem of automatically generating the style and the layout of
web pages and web sites in a real world application where many web sites a re considered …

As the web continues to increase in size, the relative coverage of web search engine is
decreasing, and search tools that combine the results of multiple search engines are …

Ranking function is instrumental in affecting the performance of a search engine. Designing
and optimizing a search engine's ranking function remains a daunting task for computer and …

In the context of Artificial Intelligence research, Evolutionary Algorithms and Machine
Learning (EML) techniques play a fundamental role for optimising Information Retrieval (IR) …

ABSTRACT W e present in this paper a genetic search strategy for a search engine. W e
begin by showing that important relations exist between W eb statistical studies, search …

The growth in the volume of the Web and other textual repositories has made Information
Retrieval task difficult, costly and in many cases very complex for the end user. In this context …

A common problem of expert combination approaches in Information Retrieval (IR) is the
selection of both, the experts to be combined and the combination function. In most studies …