公开(公告)号：US11544762B2

公开(公告)日：2023-01-03

申请号：US16773727

申请日：2020-01-27

Applicant: salesforce.com, inc.

Inventor： Yixin Mao ,  Sitaram Asur ,  Na Cheng ,  Gary Brandeleer ,  Kavya Murali ,  Nicholas Beng Tek Geh

IPC: G06Q30/06 ,  G06F17/16 ,  G06Q10/08 ,  G06Q10/06

Abstract: A system and related processing methodologies for recommending a product based on a work order are described. The system receives an input case description, including a current repair item and a current work type. Historical work orders associating a plurality of products with repair items and work types are searched for a co-occurrence of the repair item matching the current repair item, and the work type matching the current work type. Upon finding a match, the product associated with the match is added to a set of candidate products for the current work order. A similarity measure between the candidate product and current work order description, a current work type category, and popularity of the candidate product is generated and then used in the generation of a probability score for the candidate product and current work order. If the probability score meets a threshold, the candidate product is recommended.

公开(公告)号：US20210150610A1

公开(公告)日：2021-05-20

申请号：US16773727

申请日：2020-01-27

Applicant: salesforce.com, inc.

Inventor： Yixin Mao ,  Sitaram Asur ,  Na Cheng ,  Gary Brandeleer ,  Kavya Murali ,  Nicholas Beng Tek Geh

IPC: G06Q30/06 ,  G06Q10/06 ,  G06Q10/08 ,  G06F17/16

Abstract: A system and related processing methodologies for recommending a product based on a work order are described. The system receives an input case description, including a current repair item and a current work type. Historical work orders associating a plurality of products with repair items and work types are searched for a co-occurrence of the repair item matching the current repair item, and the work type matching the current work type. Upon finding a match, the product associated with the match is added to a set of candidate products for the current work order. A similarity measure between the candidate product and current work order description, a current work type category, and popularity of the candidate product is generated and then used in the generation of a probability score for the candidate product and current work order. If the probability score meets a threshold, the candidate product is recommended.