By Jesus Favela, Ernestina Menasalvas, Edgar Chávez

This e-book constitutes the refereed court cases of the second one foreign internet Intelligence convention, AWIC 2004, held in Cancun, Mexico, in may perhaps 2004. The 22 revised complete papers offered have been rigorously reviewed and chosen from fifty two submissions. The papers are geared up in topical sections on collaborative filtering and advice, aiding net groups, multi-agent platforms, delicate computing tools, textual content processing and semantic net, internet details retrieval, and categorization and rating.

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Additional info for Advances in Web Intelligence: Second International Atlantic Web Intelligence Conference, AWIC 2004, Cancun, Mexico, May 16-19, 2004. Proceedings

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In: Proceedings of WWW2002 (Honolulu, Hawaii, USA). ACM (2002) 272-280 9. Mitchell, T. : Machine learning. McGraw-Hill, New York, USA (1997) 10. Riesbeck, C. : Inside CBR. Lawrence Erlbaum Associates, Northvale, NJ, USA (1989) 11. : Introduction to Modern Information Retrieval. McGraw-Hill, New York, USA (1983) 12. : Social information filtering: algorithms for automated “Word of Mouth”. In: Proceedings of Human factors in computing systems 1995 (New York, USA). ACM (1995) 210-217 13. : A personalised TV listings service for the digital TV age.

We believe that the small spread of accuracy in the prediction techniques of MovieLens is also the reason why limiting the case-base size results in such different results. In order to confirm the influence of the spread of accuracy in prediction techniques, additional research is necessary; either experimenting with two different datasets and prediction strategies that show similar spread patterns or by developing one or two prediction techniques for MovieLens that increases the spread in accuracy.

Probabilistic Combination of Text Classifiers Using Reliability Indicators: Models and Results. In: Proceedings of SIGIR’02 (Tampere, Finland). ACM (2002) 207-214 3. , Pazzani, M. : A Learning Agent for Wireless News Access. In: Proceedings of IUI 2000 (New Orleans, USA). ACM (2000) 33-36 4. Buczak, A. : Personalization: Improving Ease-of-Use, Trust and Accuracy of a TV Show Recommender. In: Proceedings of the Workshop Personalization in Future TV’02 (Malaga, Spain). 3-12 5. : Hybrid Recommender Systems: Survey and Experiments.

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