Intelligent Search

intelligent search provides enterprise wide cognitive search that understands the intent of a query providing more relevant information retrieval to enable issues to be resolved faster intelligent search is utilised in both the sofi service agent assistant and the sofi virtual agent multiple search classifiers can be configured to enable control over that information that is presented in the search results cognitive search index models called docid\ bkyhfalr41 bgvocye7lq are configured, trained and trigger by the sofi ui elements classifiers are defined against a table, and multiple classifiers can be configured against each table for example, you may have a classifier on the incident table that predicts category, subcategory and assignment group based on the initial creation of the incident you may also have a classifier on the incident table that predicts closure code based on the entry of a solution each classifier consists of the following information the input of search field used to identify the predicted results eg short description the classification fields that you want the classifier to predict (based on the input) eg category and assignment group the training records used to train the classifier normally it's the entire contents of the source table however you can restrict the training records any filtering that you may need to apply based on business policies such as location based assignment the behaviour of classifiers can be configured based on specific contexts for example you may want a classifier to automatically populate a field at a different threshold an incident that gets generated via the ui vs one that gets created via an inbound email action a docid\ y2qknwmwufgciua8uhzet is defined to determine when a classifier is fired