The nature of statistical learning theory
The nature of statistical learning theory
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Ontology-based web site mapping for information exploration
Proceedings of the eighth international conference on Information and knowledge management
Personal ontologies for web navigation
Proceedings of the ninth international conference on Information and knowledge management
An intelligent search agent system for semantic information retrieval on the internet
WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
| Hi-index | 0.00 |
The number of accessible Web pages has been growing fast on the Internet. It has become increasingly difficult for users to find information on the Internet that satisfies their individual needs. This paper proposes a novel approach and presents a prototype system for personalized information retrieval based on user profile. In our system, we return different searching results to the same query according to each user's profile. Compared with other personalized search systems, we learn the user profile automatically without any effort from the user. We use the method of support vector machine to construct user profile. A profile ontology is introduced in order to standardize the user profile and the raw results returned by the search engine wrapper. Experiments show that the precision of the returned web pages is effectively improved.