Abstract: The present disclosure describes a method and apparatus for an error remediation recommendation process based on multiple data sources. Aspects of the disclosure may provide for processing of a knowledgebase to identify error remediation recommendations, processing of a chat log to identify error remediation recommendations, identification of errors from log data, determination of a corresponding error remediation recommendation from the knowledgebase and/or the chat log, and causing display of output indicating a corresponding error remediation recommendation. Further aspects described may also provide for training of an artificial neural network to determine a corresponding error remediation recommendation. Further aspects described may also provide for a browser extension which scrapes the Document Object Model (DOM) of a web page to identify errors.

Abstract: A cosmetic composition and method for reducing the appearance of pores. The composition is based on a silicone elastomer or a water soluble or dispersible polymer and light scattering particles, and having a specified unique rheological profile. The inventive compositions and methods deliver an improvement in appearance of pores of at least about 2, preferably at least about 4, as measured by the Pore Ruler. Pores appear less significant and smaller in size, while natural skin tone is maintained.

Abstract: A cosmetic composition and method for reducing the appearance of pores. The composition is based on a silicone elastomer or a water soluble or dispersible polymer and light scattering particles, and having a specified unique rheological profile. The inventive compositions and methods deliver an improvement in appearance of pores of at least about 2, preferably at least about 4, as measured by the Pore Ruler. Pores appear less significant and smaller in size, while natural skin tone is maintained.