US 12,462,705 B2
Question answering method, electronic device, and program product
Zijia Wang, WeiFang (CN); Jiacheng Ni, Shanghai (CN); Sanping Li, Beijing (CN); and Zhen Jia, Shanghai (CN)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Jul. 18, 2022, as Appl. No. 17/866,702.
Claims priority of application No. 202210656906.3 (CN), filed on Jun. 10, 2022.
Prior Publication US 2023/0401971 A1, Dec. 14, 2023
Int. Cl. G09B 7/00 (2006.01); G06F 16/3329 (2025.01); G06Q 30/016 (2023.01)
CPC G09B 7/00 (2013.01) [G06F 16/3329 (2019.01); G06Q 30/016 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
implementing, in a processor-based recommendation system, a plurality of restricted Boltzmann machines for respective ones of a plurality of answer libraries, wherein each of the restricted Boltzmann machines comprises at least a plurality of hidden nodes, a plurality of visible nodes of a first type, corresponding to respective questions used to train that restricted Boltzmann machine, and a plurality of visible nodes of a second type, different than the first type and corresponding to respective association relationships between the questions used to train that restricted Boltzmann machine and the answer library;
determining, in the processor-based recommendation system, an answer library associated with a question corresponding to a service request received by the processor-based recommendation system;
determining, in the processor-based recommendation system, a restricted Boltzmann machine associated with the answer library, wherein the restricted Boltzmann machine is configured to determine a set of questions that the answer library can answer and association relationships between questions in the set of questions and the answer library;
determining, in the processor-based recommendation system and using the restricted Boltzmann machine associated with the answer library, annotation information associated with the question and targeted to the answer library; and
generating, in the processor-based recommendation system, a recommendation for responding to the service request based on the annotation information.