Research on user profile model in personalized searching
Longbo Zhang · Computer Engineering and Applications Journal · 2011
User profile description is the core component of personalized search algorithm.The traditional keywords based vector space model is too simple to describe the user profile completely.By combining the structure of folksonomy and the explicit semantic of ontology concepts,a multi-layer user profile description model is proposed.Both user interesting and user relation are taken into considered in the model,and user profile can be described in different abstract layer such as tag,documents annotated and topics.Evaluation method of personalized search and the effect of resource type on user profile are also discussed.Experiments on Delicious dataset and Flickr dataset show that the user profile model proposed can improve personalized search performance effectively.