Artificial intelligence system for generating network-accessible recommendations with explanatory metadata

摘要

At an artificial intelligence system, gifting-related ranking information pertaining to a plurality of items is obtained. Using the ranking information and respective feature sets corresponding to the items, a machine learning model is trained to generate respective gift-suitability scores corresponding to individual items. Based on a gift-suitability score generated by a trained version of the model, a gift-giving recommendation is generated indicating a particular item as a candidate gift. An explanation for the recommendation, expressed in natural language, is provided with the recommendation.