By Judea Pearl

ISBN-10: 1558604790

ISBN-13: 9781558604797

Probabilistic Reasoning in clever structures is an entire and obtainable account of the theoretical foundations and computational equipment that underlie believable reasoning less than uncertainty. the writer offers a coherent explication of chance as a language for reasoning with partial trust and provides a unifying point of view on different AI techniques to uncertainty, corresponding to the Dempster-Shafer formalism, fact upkeep platforms,

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Extra info for Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

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The results of the different algorithms with regard to the peformance measures are presented in Fig. 4. e. in the worst case this happens on a random basis but this is exactly what random does. The f-measure in Experiment Two is more interesting than the MAE. After all the important thing is which items are selected by the algorithms rather than an exact prediction on an artificial binary scale. The big difference between random and the other algorithms with respect to the MAE is caused by an effect that makes predictions near 0 more probable for the other algorithms which occurs naturally more often with higher ν .

1 Social Recommender Systems 29      
      
  
      
 
   
    
     
     
      Fig. 2 Comparison of f-measure and MAE results in Experiment One Additionally it is interesting that both best performing algorithms use the additional information that comes along with higher α for more precise predictions (hence the decreasing MAE values) but are not able increase the f-measure values.

Considering for example restaurant recommendations, people geographically near a user might probably make better 10 G. Groh, S. Birnkammerer, and V. Köllhofer recommendations as they know the restaurants and their relative quality in the corresponding area better than people thousand of kilometers away. Recommendations from friends might thus in many cases combine incorporation of local competence and social competence. [66] picked up this approach and they were able to prove that a user’s friends provide better recommendations than online recommender systems.

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