A method for collaborative recommendation using knowledge integration tools and hierarchical structure of user profiles

作者：Maleszka Marcin; Mianowska Bernadetta; Ngoc Thanh Nguyen^*

来源：Knowledge-Based Systems, 2013, 47: 1-13.

DOI：10.1016/j.knosys.2013.02.016

• Hierarchical user profile
• User profile integration
• Collaborative recommendation
• Knowledge integration

This paper proposes a new approach to collaborative profile recommendation using a hierarchical structure for user modeling. In an information retrieval system a hierarchical user profile, used to personalize the document retrieval process, is being recommended to a new user based on profiles of other, similar users. Using methodology from the Knowledge Integration domain, four criteria are defined and analyzed to complete the aim of recommendation: Reliability is required for maintaining the correct structure of the profile, O-1 and O-2 Optimality postulates are required to calculate the best output profile by minimizing distances to other profiles, and Conflict Solution is used to better represent situations inherent to profile recommendation. Based on those criteria, four algorithms are proposed: O-1 and O-2 algorithms and modified O-1 and O-2 algorithms. These algorithms are further analyzed to check if they provide good recommendation.

• 出版日期2013-7