When large language models meet personalization: Perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …
intelligence. With the unprecedented scale of training and model parameters, the capability …
Visualizations and Explanations for Sequential Group Recommendations
S Pervez - 2023 - trepo.tuni.fi
The popularity of sequential recommendations is on the rise these days. It is important for
the system not to treat each round of recommendations as an independent activity; rather, it …
the system not to treat each round of recommendations as an independent activity; rather, it …
Reinforced model-agnostic counterfactual explanations for recommender systems
A Chang, Q Wang - International Conference on Electronic …, 2023 - spiedigitallibrary.org
Explanation is an important requirement for transparent and trustworthy recommender
systems. When the recommendation model itself is not explainable, an explanation must be …
systems. When the recommendation model itself is not explainable, an explanation must be …
[引用][C] 대규모언어모델을통한콘텐츠기반추천설명생성방안
여해인， 노태형， 한경식 - 한국정보과학회학술발표논문집, 2023 - dbpia.co.kr
요 약설명 가능한 추천 시스템은 사용자의 신뢰성 및 만족도를 향상시키기 위한 중요한
요소이다. 사용자의이해를 돕기 위한 추천 설명 생성 분야는 사용자 리뷰에서 추출한 정보를 …
요소이다. 사용자의이해를 돕기 위한 추천 설명 생성 분야는 사용자 리뷰에서 추출한 정보를 …