Case-based reasoning
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
Information Retrieval
Question Answering with Textual CBR
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Enriching Information Agents' Knowledge by Ontology Comparison: A Case Study
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Enhancing Case-Based, Collaborative Web Search
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Case-Based Perspective on Social Web Search
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A comparative analysis of query similarity metrics for community-based web search
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Further experiments in case-based collaborative web search
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Recommending case bases: applications in social web search
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Interface agents personalizing Web-based tasks
Cognitive Systems Research
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The volume of information on the Internet is constantly growing. This fact causes that the search of interesting information becomes a time-consuming task. Generally, a user must revise a big number of uninteresting documents and consult several search engines before finding relevant information. A personalized agent, called PersonalSearcher, that assists the user in finding interesting documents in the World Wide Web is presented in this paper. This agent carries out a parallel search in the most popular Web search engines and filters their result, listing to the user a reduced number of documents with high probability of being relevant to him. This filtering is based on a user profile that the agent builds by observing the user behavior on the Web. The agent uses a textual case-based reasoning approach in order to detect specific subjects that the user is interested in and organizes them in a hierarchy that defines the user profile.