Automatic text processing
A personal news agent that talks, learns and explains
Proceedings of the third annual conference on Autonomous Agents
Modern Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
Evaluation of an ontology-content based filtering method for a personalized newspaper
Proceedings of the 2008 ACM conference on Recommender systems
Proceedings of the 8th International Conference on Semantic Systems
Semantic metadata in the news production process: achievements and challenges
Proceeding of the 16th International Academic MindTrek Conference
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This paper proposes a novel personalized news recommendation system named InfoSlim. The new system uses semantic technique to annotate news items and user preference in order to add rich metadata information into traditional keyword vector. By doing this, the similarity measure between item profile and user profile can be done by not only lexical-level cosine-based method but also by semantic-level ontology-based method. Such recommendation method can efficiently improve the accuracy of recommendation and therefore can better reflect user's interest and save mobile resources.