Brandspider

IPRG has been developed as an interactive, self-learning system. The ”IPRG Brandspider” analysis is based on individual, multi-lingual ”Bad Word” catalogues where different parameters are taken into consideration - these include, among others, the absolute number of Badwords, the number of different Badwords, where the Badwords occur and the extent to which Badwords differ from Keywords.

Different parameters lead to an optimal evaluation of the results and, furthermore, to a categorization of the content in content cluster. Setting 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 ”White 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 relevant pre-configured settings. Thanks to the ”relevance feedback”, the Brandspider analysis can learn after each IPRG search. In this way “Bad Word “ catalogues become individually optimized and, when necessary, new settings for the evaluation parameters can be made.

Relevance Feedback

The statement intervals can be individually specified, which allows a continuous monitoring of the required content categories. The statistics contain extensive reporting functions for the current search period and permits the long-term control of the ”Brand in Use” status.

More about products and product specification

More about Operational Areas