SELF CONTAINED MULTI-DIMENSIONAL TRAFFIC DATA REPORTING AND ANALYSIS IN A LARGE SCALE SEARCH HOSTING SYSTEM

摘要

A method is provided for reporting and analyzing user search behaviors in a large scale heterogeneous search engine platform. Content repository managers want to understand how users search for content in their repository including what categories and attributes users are interested in, how users were referred to the site, and which searchable items were viewed. The method provides a low-cost alternative to OLAP and data warehouse solutions and exploits the scalability and user interface of a search engine. Furthermore, the taxonomy of the content repository needed for analysis is already known to the search engine, and need not be exported or represented in a different format required by another tool. Data analysis can be conducted interactively and in real-time.