Prediction of visibility and click-through rate of elements within the Google's results pages

• Unité de recherche: INNOSUISSE
• Numéro de projet: 15331.1;6 PFES-ES
• Titre du projet anglais: Prediction of visibility and click-through rate of elements within the Google¿s results pages

Description succincte (Anglais)

Prediction of visibility and click-through rate of elements within the Google¿s results pages

Description succincte (Français)

Prediction of visibility and click-through rate of elements within the Google's results pages

Résumé des résultats (Abstract) (Français)

Hoosh Technology provides services in the area of online marketing intelligence; it evaluates the online visibility of companies, helping them in better planning their online activities. The project aims at developing new advanced algorithms for estimating the probability of being seen, and clicked, of each link appearing in the result page of a search engine, such as Google. This would allow for measuring the online visibility of the companies better than it is currently possible. Moreover, the sampling strategy (the rate at which the search engines are queried in order to measure the online visibility of the companies) of Hoosh will be optimized in order to get the best possible trade-off between accuracy of the monitoring and the required computational effort.