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| Study on Instance Learning Method of Internet User Preference Ontology |
| Zhu Hengmin1, Jia Danhua2, Huang Zhenqi3, Wang Chunhui1 |
1. Institute of ICT Development & Strategy, Nanjing University of Posts & Telecommunications, Nanjing 210023, China;
2. College of Economics & Management, Nanjing University of Posts & Telecommunications, Nanjing 210023, China;
3. Fujian Fujitsu Communication Software Co., Ltd., Fuzhou 350013, China |
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Abstract Internet user preference Ontology can fully and accurately describe the interest and multidimensional preference of Internet users. In order to effectively resolve the problem that a large number of instances which are expanding and varying are hard to collect manually, the learning method of three representative instances including the topic professional website, brand and sporting events is researched. This method can achieve semi-automatic construction of Internet user preference Ontology. The experiments are designed to verify the effectiveness of the method.
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Received: 19 April 2013
Published: 02 September 2013
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