Query Log Analysis for User-Centric Multimedia Databases

Recently, the information community has seen the emergence of user-centric media applications, which are characterized by the central position given to the user. To fulfill the user-centric promise, it is necessary to understand and model the actions of the users of the system. This position paper presents a methodology for modeling the behavior of multimedia database users. To this end, we propose to analyze the query logs to derive the classes of behaviors of a user. The presented method bases on the characteristics of user queries and on taxonomies. The behaviors are established using a query classification algorithm.