An Improved Ontology-Based User Interest Model

Zhu Liang, Yan Jun, Ling Haifeng and Qian Haibo

Modern Applied Science, 2012, vol. 6, issue 6, 39

Abstract: In the personalized information retrieval, the design of user interest model is a key problem. Through analyzing the Ontology-based User Interest Model, propose a new hybrid model that contains both long-term and short-term model, and the long-term model updated from Vector Space Model by transform algorithm. Experiments showed that the new model tracked user’s interests more accurately, and greatly avoided the Cold Start problem.

Date: 2012
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