公开(公告)号：US11580179B2

公开(公告)日：2023-02-14

申请号：US16139386

申请日：2018-09-24

Applicant: salesforce.com, inc.

Inventor： Pingping Xiu ,  Sitaram Asur ,  Anjan Goswami ,  Ziwei Chen ,  Na Cheng ,  Suhas Satish ,  Jacob Nathaniel Huffman ,  Peter Francis White ,  WeiPing Peng ,  Aditya Sakhuja ,  Jayesh Govindarajan ,  Edgar Gerardo Velasco

IPC: G06N5/00 ,  G06F16/9535 ,  G06F16/35 ,  G06F16/338 ,  H04L67/63

Abstract: A method and system for recommending articles including: receiving a customer request from the customer during the session; generating case data for a case, by an article recommender app; configuring a training set based on the subject and description data of the customer request; identifying, by an artificial intelligence (AI) app, a first pool of articles from a knowledge database; identifying by at least one query, a second pool of articles from a case article database to into a merged pool of articles; assigning, by the AI app, an implicit label to one of the first pool and the second pool of the articles; applying a model derived by the AI app based on customer behavior and a set of features related to the case to classify each article of the merged pool of articles based at least in part on the predicted relevance of the article.