Recommendation for deployment based on feature value changes

Abstract

A recommendation system for recommending a target feature value for a target feature for a target deployment is provided. The recommendation system, for each of a plurality of deployments, collects feature values for the features of that deployment. The recommendation system then generates a model for recommending a target feature value for the target feature based on the collected feature values of the features for the deployments. The recommendation system applies the model to the features of the target deployment to identify a target feature value for the target feature. The recommendation system then provides the identified target feature value as a recommendation for the target feature for the target deployment.

1 . A system comprising:
 a computer-readable storage medium; and   a processor coupled to the computer-readable storage medium, the processor configured to:
 monitor changes in feature values of features of deployments; and 
 based on the changes satisfying a recommendation criterion,
 generate a model, which is configured to recommend a target feature value for a target feature, based on at least a subset of the feature values of the features of the deployments; 
 apply the model to feature values of a target deployment to identify the target feature value for the target feature for the target deployment; and 
 provide a recommendation that recommends the target feature value for the target feature for the target deployment. 
 
   
     
     
         2 . The system of  claim 1 , wherein a changed feature value is for the target feature. 
     
     
         3 . The system of  claim 1 , wherein a changed feature value is for a feature other than the target feature. 
     
     
         4 . The system of  claim 1 , wherein the processor is further configured to:
 automatically implement the recommendation by causing the target feature to have the target feature value for the target deployment.   
     
     
         5 . The system of  claim 1 , wherein the processor is further configured to:
 select a subset of the features from subsets of the features based on evaluation scores of the subsets of the features;   wherein the evaluation scores indicate extents to which the subsets of the features model the target feature; and   wherein the selected subset of the features has the subset of the feature values on which the model is based.   
     
     
         6 . The system of  claim 1 , wherein the recommendation criterion is based on a percentage of the deployments that have respective configurations that change in a specified time period. 
     
     
         7 . The system of  claim 1 , wherein the recommendation criterion is based on a reputation of administrators of the deployments. 
     
     
         8 . A method performed by a computing system, the method comprising:
 monitoring changes in feature values of features of deployments; and   based on the changes satisfying a recommendation criterion,
 generating a model, which is configured to recommend a target feature value for a target feature, based on at least a subset of the feature values of the features of the deployments; 
 applying the model to feature values of a target deployment to identify the target feature value for the target feature for the target deployment; and 
 providing a recommendation that recommends the target feature value for the target feature for the target deployment. 
   
     
     
         9 . The method of  claim 8 , wherein a changed feature value is for the target feature. 
     
     
         10 . The method of  claim 8 , wherein a changed feature value is for a feature other than the target feature. 
     
     
         11 . The method of  claim 8 , further comprising:
 automatically implementing the recommendation by causing the target feature to have the target feature value for the target deployment.   
     
     
         12 . The method of  claim 8 , further comprising:
 selecting a subset of the features from subsets of the features based on evaluation scores of the subsets of the features;   wherein the evaluation scores indicate extents to which the subsets of the features model the target feature; and   wherein the selected subset of the features has the subset of the feature values on which the model is based.   
     
     
         13 . The method of  claim 8 , wherein the recommendation criterion is based on a percentage of the deployments that have respective configurations that change in a specified time period. 
     
     
         14 . The method of  claim 8 , wherein the recommendation criterion is based on a reputation of administrators of the deployments. 
     
     
         15 . A computer program product comprising a computer-readable storage medium having instructions recorded thereon for enabling a processor-based system to perform operations, the operations comprising:
 monitoring changes in feature values of features of deployments; and   based on the changes satisfying a recommendation criterion,
 generating a model, which is configured to recommend a target feature value for a target feature, based on at least a subset of the feature values of the features of the deployments; 
 applying the model to feature values of a target deployment to identify the target feature value for the target feature for the target deployment; and 
 providing a recommendation that recommends the target feature value for the target feature for the target deployment. 
   
     
     
         16 . The computer program product of  claim 15 , wherein a changed feature value is for the target feature. 
     
     
         17 . The computer program product of  claim 15 , wherein a changed feature value is for a feature other than the target feature. 
     
     
         18 . The computer program product of  claim 15 , further comprising:
 automatically implementing the recommendation by causing the target feature to have the target feature value for the target deployment.   
     
     
         19 . The computer program product of  claim 15 , further comprising:
 selecting a subset of the features from subsets of the features based on evaluation scores of the subsets of the features;   wherein the evaluation scores indicate extents to which the subsets of the features model the target feature; and   wherein the selected subset of the features has the subset of the feature values on which the model is based.   
     
     
         20 . The computer program product of  claim 15 , wherein the recommendation criterion is based on at least one of the following:
 a percentage of the deployments that have respective configurations that change in a specified time period;   a reputation of administrators of the deployments.