Mock, K.J.; Vemuri, V.R.: Information filtering via hill climbing, WordNet, and index patterns (1997)
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- Abstract
- The INFOS (Intelligent News Filtering Organizational System) project is designed to reduce the user's search burden by automatically categorising data as relevant or irrelevant based upon user interests. These predictions are learned automatically based upon features taken from input articles and collaborative features derived from other users. The filtering is performed by a hybrid technique that combines elements of a keyword-based hill climbing method, knowledge-based conceptual representation via WordNet, and partial parsing via index patterns. The hybrid systems integrating all these approaches combines the benefits of each while maintaing robustness and acalability
