1. Inicio
  2. Atrás
Título: Improved internet information retrieval through the use of user models, filtering agents and a knowledge-based system
Autores: Newell, Sima C.
Fecha: 1997
Publicador: McGill University - MCGILL
Fuente:
Tipo: Electronic Thesis or Dissertation
Tema: Information Science.
Artificial Intelligence.
Computer Science.
Descripción: Over the past few years, the amount of electronic information available from the Internet has increased dramatically. Unfortunately, the search tools currently available for retrieving and filtering such information remain inadequate in balancing relevance and comprehensiveness. This work proposes a new Internet search paradigm. Simple user models are first combined with search specifications (the "user needs"), to form an Enhanced User Need (EUN). Uniform Resource Agents are then constructed to filter information, based on the EUN parameters. Finally, a knowledge-based system is developed to suggest those agents that are best for a researcher with a given background and search requirements. Two experiments show that users can obtain better search results from a set of HTML documents by invoking the agents recommended by the knowledge-based system, than by conducting a traditional keyword-based search. This work thus demonstrates that the use of user models, filtering agents and a knowledge-based system improves search results and may be extended to improve Internet information retrieval.
Idioma: en