US 12,293,401 B2
Automatically generating personalized and context-aware explanation formats for a recommendation
Oznur Alkan, Clonsilla (IE); Elizabeth Daly, Dublin (IE); Bei Chen, Blanchardstown (IE); Massimiliano Mattetti, Dublin (IE); and Rahul Nair, Dublin (IE)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Oct. 27, 2022, as Appl. No. 18/050,135.
Prior Publication US 2024/0144346 A1, May 2, 2024
Int. Cl. G06Q 30/00 (2023.01); G06Q 30/0601 (2023.01); G06F 16/248 (2019.01)
CPC G06Q 30/0631 (2013.01) [G06F 16/248 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
executing, using an interaction manager module of a recommender system, user feedback operations comprising receiving and storing user feedback on explanation formats of recommendation-explanation pairs generated by a recommender of the recommender system;
wherein the recommendation-explanation pairs comprise a first recommendation-explanation pair; and
determining, using an explanation generator module of the recommender system, a predicted explanation format of the first recommendation-explanation pair;
wherein the explanation generator module comprises a machine learning model trained based at least in part on the user feedback on the explanation formats of the recommendation-explanation pairs generated by the recommender.