IPRG has been developed as an interactive, self-learning system.
Brandspider” analysis is based on individual, multi-lingual
catalogues where different parameters are taken into consideration
include, among others, the absolute number of Badwords, the number
different Badwords, where the Badwords occur and the extent to
differ from Keywords.
Different parameters lead to an optimal evaluation of the results
furthermore, to a categorization of the content in content cluster.
up individual “Bad Word” catalogues allows the systems
to use them for
various monitoring goals (e.g. legal- or marketing-orientated
goals - in the
short, medium or long term). The individual detection of individual
Urls” leads to the filtering-out of unauthorized product
offers and/or piracy
of brands and products.
The final selection of the results can be influenced by three
pre-configured settings. Thanks to the ”relevance feedback”,
analysis can learn after each IPRG search. In this way “Bad
Word “ catalogues
become individually optimized and, when necessary, new settings
evaluation parameters can be made.
The statement intervals can be individually specified, which allows
continuous monitoring of the required content categories. The
contain extensive reporting functions for the current search period
permits the long-term control of the ”Brand in Use”
More about products
and product specification
More about Operational