Identifying User Behavior in domain-specific Repositories
This work provides insights into user interactions for domain-specific repository managers, but it is incremental as it applies existing methods to new data.
The paper analyzed user behavior in two domain-specific repositories using etracker and Apache web logs, finding that recommendations are frequently used while combining search with faceting or filtering is rare.
This paper presents an analysis of the user behavior of two different domain-specific repositories. The web analytic tool etracker was used to gain a first overall insight into the user behavior of these repositories. Moreover, we extended our work to describe an apache web log analysis approach which focuses on the identification of the user behavior. Therefore the user traffic within our systems is visualized using chord diagrams. We could find that recommendations are used frequently and users do rarely combine searching with faceting or filtering.