Read e-book online Advances in Web Intelligence: Second International Atlantic PDF

By Jesus Favela, Ernestina Menasalvas, Edgar Chávez

ISBN-10: 3540220097

ISBN-13: 9783540220091

ISBN-10: 3540246819

ISBN-13: 9783540246817

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

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Read or Download Advances in Web Intelligence: Second International Atlantic Web Intelligence Conference, AWIC 2004, Cancun, Mexico, May 16-19, 2004. Proceedings PDF

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Of course these relevance will be enriched if specific rules are defined: activities consequences in a work context or semantic proximity in a discussion forum. 32 Rosa Alarcón and David A. Fuller Users’ availability preferences scope needs to be specified for users that belong to multiple communities at a time, which is something that already occurs. As well group scope policies need to be provided. We addressed those needs by extending slightly the User Context Ontology, however the high degree of modularity provided by multi-agent technology made possible that no changes were required on AwServer code.

First, determine the expected error of each prediction technique using those stored cases that have similar validity indicators as the current situation. Second, choose the technique with the lowest expected error as the one that should provide the prediction. 1 Determining Analogous Cases The key element of CBR is determining which old cases are analogies of the current prediction request [18]. Traditional CBR systems calculate the distance between two 16 Mark van Setten et al. cases; old cases with the least distance from the current case are retrieved to determine the outcome for the current case.

3076. This means that the expected errors calculated by the CBR-based prediction strategy in the MovieLens dataset tend to be situated close together, making the probability of a wrong decision larger as the Case-Based Reasoning as a Prediction Strategy for Hybrid Recommender Systems 21 decisions are based on these expected errors. Since the spread is higher in the TiV dataset, the probability of a wrong decision is smaller. Limiting the size of the case-base in MovieLens resulted in a decreased accuracy for the CBR-based prediction strategy (see Table 4).

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Advances in Web Intelligence: Second International Atlantic Web Intelligence Conference, AWIC 2004, Cancun, Mexico, May 16-19, 2004. Proceedings by Jesus Favela, Ernestina Menasalvas, Edgar Chávez


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