Titlebook: Case-Based Reasoning Research and Development; 23rd International C Eyke Hüllermeier,Mirjam Minor Conference proceedings 2015 Springer Inte

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Learning to Estimate: A Case-Based Approach to Task Execution Prediction,tally revises its case base. We empirically evaluate CBE on Humanitarian Assistance/Disaster Relief (HA/DR) scenarios and show it to be more accurate than several baselines and more efficient than using a low fidelity simulator.

变形

Aspect Selection for Social Recommender Systems,r products to form the basis for the supervised IG metric. Experimental results on three related product families (Compact Cameras, DSLR Cameras and Point & Shoot Cameras) extracted from Amazon.com demonstrate the effectiveness of incorporating feature selection techniques for aspect selection in recommendation task.

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0302-9743 Research and Development, ICCBR 2015, held in Frankfurt am Main, Germany, in September 2015..The 26 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers cover a wide range of CBR topics that are of interest both to researchers and practitioners from fou

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否认

Roux-Y Hepatico- or Choledochojejunostomy the trade-offs they may need to consider when making their choice. We describe this approach in the context of a case-based recommender system that harnesses opinions mined from user-generated reviews, and evaluate it on TripAdvisor hotel data.

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A Case-Based Approach for Easing Schema Semantic Mapping,gy, that helps the user in finding a good match thanks to a score function taking into account previous results (i.e. solved cases). Such a technique makes the schema mapping easier and less error-prone. The proposed solution is in use in an industrial context, at the Multiposting firm.

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Great Explanations: Opinionated Explanations for Recommendations, the trade-offs they may need to consider when making their choice. We describe this approach in the context of a case-based recommender system that harnesses opinions mined from user-generated reviews, and evaluate it on TripAdvisor hotel data.

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Jan G. Norstrøm,Roger M. Cooke,Tim Bedfordlem solving, by reducing the size of the case base, while maintaining performance. To illustrate the effectiveness of our approach, we present a case study in which Pref-CBR is used for the repetitive traveling salesman problem.