Preference Modeling and Mining for Personalization

摘要: As near-infinite amount of data are becoming accessible on the Web, it becomes more important to support intelligent personalized retrieval mechanisms, help users identify results a manageable size satisfying user-specific needs. Example case studies include major search engines, such as Google and Yahoo, recently released search, which adapts ranking context. Similarly, e-commerce sites, Amazon, providing product recommendation based purchase history user browsing behaviors. To achieve this goal, is model preference mine preferences from behaviors (e.g., click history) for personalization. In article, we discuss recent efforts extend mining research goals future works.