Intelligent Techniques for Web Personalization
Papers from the AAAI Workshop
Bamshad Mobasher and Sarabjot Singh, Cochairs
Web personalization can be defined as any set of actions that can tailor the Web experience to a particular user or set of users. To achieve effective personalization, a variety of types of data must be harnessed, including the user profiles, Web content and structure, and domain knowledge. Efficient and intelligent techniques are needed to mine this data for actionable knowledge, and to effectively use the discovered knowledge to create user models. These techniques must address important challenges emanating from the size and the heterogeneous nature of the data itself, as well as the dynamic nature of user interactions with the Web. These challenges include the successful integration of techniques from machine learning, information retrieval and filtering, databases, agent architectures, knowledge representation, data mining, statistics, user modeling, and human-computer interaction.
This workshop represents the fourth in a successful series of workshops that have brought together researchers and practitioners to foster an exchange of ideas, and to facilitate a discussion of current and emerging topics related to Web Intelligence, Web mining, and Personalization.