inter-service revisit analysis of three user groups using intra-day behavior in the mobile clickstream
The mobile Internet proliferates and penetrates all aspects of daily life. The 4 billion mobile users will increase their impacts on data services. The author came to a sense that the intra-day mobile behaviors are classified into three user groups: always-on, night, and infrequent users. The author proposes a two-phase method to identify these three user groups. The author shows the case study result from 2001 commercial service logs with two different mobile services. The derived user groups are evaluated by the revisit ratio in the following month. The results are discussed to highlight the three-segment model in intra-day mobile user behaviors. They show the clear revisit ratio difference among the three user groups in the four services in observation. The two services in the two case studies are significantly different, however, they still exhibit consistent patterns in the three group classification.
clickstream mobile internet clustering