| 摘要 |
A method for improving search quality by quantitative analysis of enterprise web access traffic is disclosed. This invention relates to the field of data processing systems and more particularly to the field of knowledge management in corporate or enterprise. Performing search on heterogeneous data in an enterprise is complex and challenging. Present day technologies deploy costly and time consuming methods involving manual operation of data integration, pre-processing, mining and interpretation tools. Further, these methods are inefficient in retrieving relevant data. The proposed method discloses a method for exhaustive monitoring and analysis of intranet traffic to identify and retrieve relevant data in enterprise search. Resource relevance is revealed by traffic analyzer based on empirical, content-independent metric. Further, analysis of intranet traffic provides effective, timely and personalized information resource to user for selective information discovery, cross-linking of disjoint data repositories, one-click navigation to popular applications, index trimming and the like. |
