Team AxIS

Overall Objectives
Application Domains
New Results
Contracts and Grants with Industry
Other Grants and Activities

Section: New Results

Anti-Bouncing Model for Usage Data Streams

Participants : Chongsheng Zhang, Florent Masseglia, Yves Lechevallier.

This work takes place in the context of Chongsheng Zhang's Ph.D thesis.

The bounce rate (BR ) of a website is the percentage of visitors (or users) who hit a given page and do not visit any other page on that website. It is defined as Im1 ${BR=(\mfrac T_oT_v)}$ with To the total number of visits viewing only one page and Tv the total number of visits. According to Wikipedia: it essentially represents the percentage of initial visitors to a site who "bounce" away to a different site, rather than continue on to other pages within the same site. Bounce rate is very important for usage analysis and most commercial websites would like to lower it. We claim that, in some cases, the observed bounce rate is higher than the real one, because of the data stream model.

In [39] , [49] we introduce the ABS (Anti-Bouncing Stream) model, a new model relying on a novel point of view. The goal of ABS is to maintain a reliable representation of the recent data in the stream and to avoid breaking down the navigations. We show that with ABS, we observe lower bounce rates.


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